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@article{10_1016_j_isci_2026_115268,
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@article{10_1126_sciadv_aea3573,
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@article{10_1038_s41597-025-06118-x,
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@article{10_1038_s41597-025-05186-3,
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@article{10_1038_s41597-025-04366-5,
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@article{10_1038_s41597-025-06010-8,
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@article{10_1038_s41597-025-04708-3,
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@article{10_1038_s41597-025-06282-0,
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@article{10_1038_s41597-025-04904-1,
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@article{10_1038_s41597-025-04875-3,
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@article{10_1038_s41597-025-04533-8,
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@article{10_1038_s41597-025-06148-5,
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@article{10_1038_s41560-025-01704-0,
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@article{10_1038_s41560-025-01907-5,
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@article{10_1038_s41560-025-01927-1,
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@article{10_1038_s41467-025-56310-1,
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@article{10_1038_s41467-025-58456-4,
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@article{10_1038_s41467-025-67541-7,
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@article{10_1038_s41467-025-59743-w,
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@article{10_1038_s41467-025-56443-3,
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@article{10_1038_s41467-025-59269-1,
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@article{10_1038_s41558-025-02436-5,
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@article{10_1093_pnasnexus_pgaf342,
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@article{10_1093_pnasnexus_pgaf198,
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@article{10_1093_pnasnexus_pgaf274,
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@article{10_1093_pnasnexus_pgaf230,
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@article{10_1093_pnasnexus_pgaf356,
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@article{10_1093_pnasnexus_pgaf051,
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@article{10_1038_s44284-025-00221-1,
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@article{10_1038_s41598-025-87625-0,
  title = {Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-87625-0},
  url = {https://doi.org/10.1038/s41598-025-87625-0}
}

@article{10_1038_s41598-024-80424-z,
  title = {Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-024-80424-z},
  url = {https://doi.org/10.1038/s41598-024-80424-z}
}

@article{10_1038_s41598-025-12797-8,
  title = {Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-12797-8},
  url = {https://doi.org/10.1038/s41598-025-12797-8}
}

@article{10_1038_s41598-025-30043-z,
  title = {An improved weighted average algorithm with Cloud-Based Risk-Conscious stochastic model for building energy optimization},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-30043-z},
  url = {https://doi.org/10.1038/s41598-025-30043-z}
}

@article{10_1038_s41598-025-21871-0,
  title = {Building retrofit multiobjective optimization using neural networks and genetic algorithm three for energy carbon and comfort},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-21871-0},
  url = {https://doi.org/10.1038/s41598-025-21871-0}
}

@article{10_1038_s41598-024-79782-5,
  title = {Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-024-79782-5},
  url = {https://doi.org/10.1038/s41598-024-79782-5}
}

@article{10_1038_s41598-025-92916-7,
  title = {Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-92916-7},
  url = {https://doi.org/10.1038/s41598-025-92916-7}
}

@article{10_1038_s41598-025-04973-7,
  title = {Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-04973-7},
  url = {https://doi.org/10.1038/s41598-025-04973-7}
}

@article{10_1038_s41598-025-11581-y,
  title = {Individual perceptions of renewable energy investment in Somali firms},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-11581-y},
  url = {https://doi.org/10.1038/s41598-025-11581-y}
}

@article{10_1038_s41598-025-10404-4,
  title = {Optimal energy management of multi-carrier energy system considering uncertainty in renewable generation},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-10404-4},
  url = {https://doi.org/10.1038/s41598-025-10404-4}
}

@article{10_1038_s41598-025-90062-8,
  title = {Optimal energy management for multi-energy microgrids using hybrid solutions to address renewable energy source uncertainty},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-90062-8},
  url = {https://doi.org/10.1038/s41598-025-90062-8}
}

@article{10_1038_s41598-025-06768-2,
  title = {Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-06768-2},
  url = {https://doi.org/10.1038/s41598-025-06768-2}
}

@article{10_1038_s41598-025-28291-0,
  title = {Power quality disturbance identification using hybrid deep learning in renewable energy systems},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-28291-0},
  url = {https://doi.org/10.1038/s41598-025-28291-0}
}

@article{10_1038_s41598-025-20339-5,
  title = {Multi-criteria assessment of optimization methods for controlling renewable energy sources in distribution systems},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-20339-5},
  url = {https://doi.org/10.1038/s41598-025-20339-5}
}

@article{10_1038_s41598-024-84605-8,
  title = {A bi-level optimization strategy of electricity-hydrogen-carbon integrated energy system considering photovoltaic and wind power uncertainty and demand response},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-024-84605-8},
  url = {https://doi.org/10.1038/s41598-024-84605-8}
}

@article{10_1038_s41598-025-28610-5,
  title = {Federated two-edge graph attention network with weighted global aggregation for electricity consumption demand forecasting},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-28610-5},
  url = {https://doi.org/10.1038/s41598-025-28610-5}
}

@article{10_1038_s41598-025-27677-4,
  title = {Multi-temporal dimension prediction of new energy electricity demand based on chaos-LSSVM neural network},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-27677-4},
  url = {https://doi.org/10.1038/s41598-025-27677-4}
}

@article{10_1038_s41598-025-91878-0,
  title = {Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-91878-0},
  url = {https://doi.org/10.1038/s41598-025-91878-0}
}

@article{10_1038_s41598-025-30090-6,
  title = {An optimization method for integrated demand response strategies for electricity and heat considering the uncertainty of user-side loads},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-30090-6},
  url = {https://doi.org/10.1038/s41598-025-30090-6}
}

@article{10_1038_s41598-025-87689-y,
  title = {Robust fuzzy dynamic integrated environmental-economic-social scheduling considering demand response and user’s satisfaction with electricity under multiple uncertainties},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-87689-y},
  url = {https://doi.org/10.1038/s41598-025-87689-y}
}

@article{10_1038_s41598-025-13385-6,
  title = {The electricity purchasing and selling strategy of load aggregators participating in China’s dual-tier electricity market considering inter-provincial subsidies},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-13385-6},
  url = {https://doi.org/10.1038/s41598-025-13385-6}
}

@article{10_1038_s41598-025-31508-x,
  title = {Systematic hyperparameter analysis of GRU and LSTM across demand pattern types: a demand-characteristic-driven meta-learning framework for rapid optimization},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-31508-x},
  url = {https://doi.org/10.1038/s41598-025-31508-x}
}

@article{10_1038_s41598-025-15286-0,
  title = {Time series transformer for tourism demand forecasting},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-15286-0},
  url = {https://doi.org/10.1038/s41598-025-15286-0}
}

@article{10_1038_s41598-025-26830-3,
  title = {Demand forecasting of smart tourism integrating spatial metrology and deep learning},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-26830-3},
  url = {https://doi.org/10.1038/s41598-025-26830-3}
}

@article{10_1038_s41598-025-16953-y,
  title = {Climate-adaptive energy forecasting in green buildings via attention-enhanced Seq2Seq transfer learning},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-16953-y},
  url = {https://doi.org/10.1038/s41598-025-16953-y}
}

@article{10_1038_s41598-025-23661-0,
  title = {Solar potential assessment using machine learning and climate change projections for long-term energy planning},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-23661-0},
  url = {https://doi.org/10.1038/s41598-025-23661-0}
}

@article{10_1038_s41598-025-00400-z,
  title = {Anomaly detection with grid sentinel framework for electric vehicle charging stations in a smart grid environment},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-00400-z},
  url = {https://doi.org/10.1038/s41598-025-00400-z}
}

@article{10_1038_s41598-025-94718-3,
  title = {An online learning method for assessing smart grid stability under dynamic perturbations},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-94718-3},
  url = {https://doi.org/10.1038/s41598-025-94718-3}
}

@article{10_1038_s41598-025-28986-4,
  title = {Design of a hybrid learning model for establishing consistency in smart grid environment},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-28986-4},
  url = {https://doi.org/10.1038/s41598-025-28986-4}
}

@article{10_1038_s41598-025-26009-w,
  title = {Improving efficiency in smart grid monitoring using hybrid classification and dimensionality reduction},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-26009-w},
  url = {https://doi.org/10.1038/s41598-025-26009-w}
}

@article{10_1038_s41598-025-16533-0,
  title = {Robust algorithm development of frequency estimation in smart grid},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-16533-0},
  url = {https://doi.org/10.1038/s41598-025-16533-0}
}

@article{10_1038_s41598-025-10704-9,
  title = {A smart grid data sharing scheme supporting policy update and traceability},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-10704-9},
  url = {https://doi.org/10.1038/s41598-025-10704-9}
}

@article{10_1038_s41598-025-02690-9,
  title = {Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-02690-9},
  url = {https://doi.org/10.1038/s41598-025-02690-9}
}

@article{10_1038_s41598-025-04984-4,
  title = {Artificial intelligence-augmented smart grid architecture for cyber intrusion detection and mitigation in electric vehicle charging infrastructure},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-04984-4},
  url = {https://doi.org/10.1038/s41598-025-04984-4}
}

@article{10_1038_s41598-025-91897-x,
  title = {Interpretable adaptive fault detection method for smart grid based on belief rule base},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-91897-x},
  url = {https://doi.org/10.1038/s41598-025-91897-x}
}

@article{10_1038_s41598-025-88389-3,
  title = {Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-88389-3},
  url = {https://doi.org/10.1038/s41598-025-88389-3}
}

@article{10_1038_s41598-025-88522-2,
  title = {Effect of thermal stress on the life of DC link capacitors for smart grid},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-88522-2},
  url = {https://doi.org/10.1038/s41598-025-88522-2}
}

@article{10_1038_s41598-025-29052-9,
  title = {Flexible renewable integrated energy system capabilities to improve voltage stability with power quality and economic environmental operation of smart grid},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-29052-9},
  url = {https://doi.org/10.1038/s41598-025-29052-9}
}

@article{10_1038_s41598-025-05083-0,
  title = {Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-05083-0},
  url = {https://doi.org/10.1038/s41598-025-05083-0}
}

@article{10_1038_s41598-025-28907-5,
  title = {AI-driven smart grid optimization for hospital energy systems integrating renewable generation, predictive maintenance, and resilient infrastructure},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-28907-5},
  url = {https://doi.org/10.1038/s41598-025-28907-5}
}

@article{10_1038_s41598-025-18105-8,
  title = {Enhanced FPGA-based smart power grid simulation using Heun and Piecewise analytic method},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-18105-8},
  url = {https://doi.org/10.1038/s41598-025-18105-8}
}

@article{10_1038_s41598-025-32294-2,
  title = {Prediction of electricity consumption and hydropower production in the smart power grid based on the gated recurrent unit neural network and modified future search algorithm},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-32294-2},
  url = {https://doi.org/10.1038/s41598-025-32294-2}
}

@article{10_1038_s41598-025-17530-z,
  title = {Resilient cybersecurity in smart grid ICS communication using BLAKE3-driven dynamic key rotation and intrusion detection},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-17530-z},
  url = {https://doi.org/10.1038/s41598-025-17530-z}
}

@article{10_1038_s41598-025-09626-3,
  title = {Grid tied hybrid PV fuel cell system with energy storage and ANFIS based MPPT for smart EV charging},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-09626-3},
  url = {https://doi.org/10.1038/s41598-025-09626-3}
}

@article{10_1038_s41598-025-10849-7,
  title = {Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-10849-7},
  url = {https://doi.org/10.1038/s41598-025-10849-7}
}

@article{10_1038_s41598-025-32134-3,
  title = {Multi-objective route optimization for electric vehicle hazardous materials transportation in uncertain environments},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-32134-3},
  url = {https://doi.org/10.1038/s41598-025-32134-3}
}

@article{10_1038_s41598-025-93798-5,
  title = {Carbon management in massive electric vehicle temporal and spatial scheduling with automotive electronic forensics},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-93798-5},
  url = {https://doi.org/10.1038/s41598-025-93798-5}
}

@article{10_1038_s41598-025-18771-8,
  title = {Survival analysis of electric vehicle charging behavior and the temporal evolution of feature effects},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-18771-8},
  url = {https://doi.org/10.1038/s41598-025-18771-8}
}

@article{10_1038_s41598-025-11330-1,
  title = {Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-11330-1},
  url = {https://doi.org/10.1038/s41598-025-11330-1}
}

@article{10_1038_s41598-025-31865-7,
  title = {Location allocation and capacity optimization for a PV and battery integrated hybrid community electric vehicle charging station},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-31865-7},
  url = {https://doi.org/10.1038/s41598-025-31865-7}
}

@article{10_1038_s41598-025-25987-1,
  title = {Smart Strategies for Improving Electric Vehicle Battery Performance and Efficiency},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-25987-1},
  url = {https://doi.org/10.1038/s41598-025-25987-1}
}

@article{10_1038_s41598-025-19277-z,
  title = {New flexible bidirectional converter for electric vehicle substations connecting microgrids},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-19277-z},
  url = {https://doi.org/10.1038/s41598-025-19277-z}
}

@article{10_1038_s41598-025-18863-5,
  title = {Strategic design of wind energy and battery storage for efficient and sustainable energy systems},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-18863-5},
  url = {https://doi.org/10.1038/s41598-025-18863-5}
}

@article{10_1038_s41598-025-26563-3,
  title = {Interval-aware optimal control of PMSG-based wind energy conversion systems via piecewise Chebyshev inclusion},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-26563-3},
  url = {https://doi.org/10.1038/s41598-025-26563-3}
}

@article{10_1038_s41598-025-98872-6,
  title = {Optimizing weak grid integrated wind energy systems using ANFIS-SRF controlled DSTATCOM},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-98872-6},
  url = {https://doi.org/10.1038/s41598-025-98872-6}
}

@article{10_1038_s41598-025-19818-6,
  title = {DDPG algorithm for power optimization and control of solar PV-integrated DFIG wind energy systems},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-19818-6},
  url = {https://doi.org/10.1038/s41598-025-19818-6}
}

@article{10_1038_s41598-025-96625-z,
  title = {Reducing power ripple for multi-rotor wind energy systems using FOPDPI controllers},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-96625-z},
  url = {https://doi.org/10.1038/s41598-025-96625-z}
}

@article{10_1038_s41598-025-13782-x,
  title = {Predictive riccati control for enhancing power quality using extended pq theory in wind energy-based conversion systems},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-13782-x},
  url = {https://doi.org/10.1038/s41598-025-13782-x}
}

@article{10_1038_s41598-025-29604-z,
  title = {Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-29604-z},
  url = {https://doi.org/10.1038/s41598-025-29604-z}
}

@article{10_1038_s41598-025-22502-4,
  title = {Bi-objective operation optimization of regional integrated energy system considering shared energy storage},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-22502-4},
  url = {https://doi.org/10.1038/s41598-025-22502-4}
}

@article{10_1038_s41598-025-92601-9,
  title = {Multi-timescale optimization scheduling of integrated energy systems oriented towards generalized energy storage services},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-92601-9},
  url = {https://doi.org/10.1038/s41598-025-92601-9}
}

@article{10_1038_s41598-025-05438-7,
  title = {Optimal scheduling of integrated energy system with gas–liquid phase change carbon dioxide energy storage considering multi-layer low-carbon benefits},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-05438-7},
  url = {https://doi.org/10.1038/s41598-025-05438-7}
}

@article{10_1038_s41598-025-24408-7,
  title = {Artificial intelligence powered intelligent energy management framework for hydrogen storage and dispatch in smart microgrids},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-24408-7},
  url = {https://doi.org/10.1038/s41598-025-24408-7}
}

@article{10_1038_s41598-025-89016-x,
  title = {Deep neural network-enhanced prediction and carbon footprint analysis of early-age high-performance manufactured sand concrete’s stress–strain behavior},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-89016-x},
  url = {https://doi.org/10.1038/s41598-025-89016-x}
}

@article{10_1038_s41598-025-05098-7,
  title = {Energy consumption prediction of PEVs incorporating traffic flow information},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-05098-7},
  url = {https://doi.org/10.1038/s41598-025-05098-7}
}

@article{10_1038_s41598-025-15263-7,
  title = {Optimization of mine ventilation energy consumption based on improved dung beetle algorithm},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-15263-7},
  url = {https://doi.org/10.1038/s41598-025-15263-7}
}

@article{10_1038_s41598-025-87013-8,
  title = {Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-87013-8},
  url = {https://doi.org/10.1038/s41598-025-87013-8}
}

@article{10_1038_s41598-025-14423-z,
  title = {TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-14423-z},
  url = {https://doi.org/10.1038/s41598-025-14423-z}
}

@article{10_1038_s41598-025-23158-w,
  title = {Deep learning approach to energy consumption modeling in wastewater pumping systems},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-23158-w},
  url = {https://doi.org/10.1038/s41598-025-23158-w}
}

@article{10_1038_s41598-025-11893-z,
  title = {Natural gas bi-level demand response strategies considering incentives and complexities under dynamic pricing},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-11893-z},
  url = {https://doi.org/10.1038/s41598-025-11893-z}
}

@article{10_1038_s41598-025-05482-3,
  title = {An optimized demand response framework for enhancing power system reliability under wind power and EV-induced uncertainty},
  journal = {Scientific Reports},
  year = {2025},
  doi = {10.1038/s41598-025-05482-3},
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@article{10_1093_pnasnexus_pgae092,
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@article{10_1093_pnasnexus_pgae213,
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@article{10_1093_pnasnexus_pgae351,
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@article{10_1093_pnasnexus_pgae480,
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@article{10_1093_pnasnexus_pgae389,
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@article{10_1093_pnasnexus_pgae594,
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@article{10_1093_pnasnexus_pgae388,
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@article{10_1038_s41598-024-57498-w,
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@article{10_1038_s41598-023-50890-y,
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@article{10_1038_s41598-024-70811-x,
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@article{10_1038_s41598-024-67600-x,
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@article{10_1038_s41598-024-68239-4,
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@article{10_1038_s41598-024-52995-4,
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@article{10_1038_s41598-024-72606-6,
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@article{10_1038_s41598-024-58515-8,
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@article{10_1038_s41598-024-70729-4,
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@article{10_1038_s41598-024-68021-6,
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@article{10_1038_s41598-024-81836-7,
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@article{10_1038_s41598-024-64794-y,
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@article{10_1038_s41598-024-59531-4,
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@article{10_1038_s41598-024-54333-0,
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@article{10_1038_s41598-024-72060-4,
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@article{10_1038_s41598-024-81487-8,
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@article{10_1038_s41598-024-72397-w,
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@article{10_1038_s41598-024-56602-4,
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@article{10_1038_s41598-024-63843-w,
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@article{10_1038_s41598-024-63262-x,
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@article{10_1038_s41598-024-59473-x,
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@article{10_1038_s41598-024-63775-5,
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@article{10_1038_s41598-024-81449-0,
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@article{10_1038_s41598-024-75039-3,
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@article{10_1038_s41598-024-56507-2,
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@article{10_1038_s41598-024-55271-7,
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@article{10_1038_s41598-023-50692-2,
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@article{10_1038_s41598-024-70599-w,
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@article{10_1038_s41598-024-68292-z,
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@article{10_1038_s41598-024-67315-z,
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@article{10_1038_s41598-024-72103-w,
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@article{10_1038_s41598-024-77792-x,
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@article{10_1038_s41598-024-66492-1,
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@article{10_1038_s41598-024-72706-3,
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@article{10_1038_s41598-024-82257-2,
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@article{10_1016_j_joule_2024_04_005,
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@article{10_1016_j_joule_2024_11_002,
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@article{10_1016_j_crsus_2024_100268,
  title = {An empirical agent-based model of consumer co-adoption of low-carbon technologies to inform energy policy},
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@article{10_1016_j_isci_2024_110691,
  title = {Seasonal hydrogen energy storage sizing: Two-stage economic-safety optimization for integrated energy systems in northwest China},
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@article{10_1016_j_isci_2024_109305,
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@article{10_1016_j_isci_2024_110089,
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@article{10_1016_j_isci_2024_108988,
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@article{10_1016_j_isci_2024_109654,
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@article{10_1016_j_isci_2024_109644,
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@article{10_1016_j_isci_2024_111430,
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@article{10_1126_sciadv_adn8544,
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@article{10_1126_sciadv_adr3559,
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@article{10_1126_sciadv_adk2277,
  title = {Nonsynchronous rotation of icy moon ice shells: The thermal wind perspective},
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@article{10_1126_sciadv_adq0515,
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            <sub>2</sub>
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@article{10_1126_sciadv_adm8443,
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@article{10_1038_s41597-023-01951-4,
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@article{10_1038_s41597-023-02628-8,
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@article{10_1038_s41597-022-01918-x,
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@article{10_1038_s41597-023-02448-w,
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@article{10_1038_s41597-023-02271-3,
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@article{10_1038_s41597-023-01991-w,
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@article{10_1038_s41597-023-02754-3,
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@article{10_1038_s41560-022-01174-8,
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@article{10_1038_s41560-023-01283-y,
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@article{10_1038_s41560-023-01341-5,
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@article{10_1038_s41560-023-01284-x,
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@article{10_1038_s41560-023-01276-x,
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@article{10_1038_s41560-023-01363-z,
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@article{10_1038_s41560-023-01306-8,
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@article{10_1038_s41467-023-36875-5,
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@article{10_1038_s41467-023-38123-2,
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@article{10_1038_s41467-023-37536-3,
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@article{10_1093_pnasnexus_pgad269,
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@article{10_1093_pnasnexus_pgad160,
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@article{10_1093_pnasnexus_pgad389,
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@article{10_1093_pnasnexus_pgad469,
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@article{10_1093_pnasnexus_pgad059,
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@article{10_1038_s41598-023-49901-9,
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@article{10_1038_s41598-023-35555-0,
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@article{10_1038_s41598-023-47401-4,
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@article{10_1038_s41598-023-36379-8,
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@article{10_1038_s41598-023-33133-y,
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@article{10_1038_s41598-023-47605-8,
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@article{10_1038_s41598-023-45673-4,
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@article{10_1038_s41598-023-35361-8,
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@article{10_1038_s41598-023-49270-3,
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@article{10_1038_s41598-022-25845-4,
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@article{10_1016_j_joule_2023_02_006,
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@article{10_1016_j_joule_2023_06_015,
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@article{10_1016_j_joule_2023_09_012,
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@article{10_1016_j_oneear_2023_04_013,
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@article{10_1016_j_isci_2022_105821,
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@article{10_1126_sciadv_adg3856,
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@article{10_1126_sciadv_adk3754,
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@article{10_1126_sciadv_adc9576,
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@article{10_1126_sciadv_adh4327,
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@article{10_1126_sciadv_adf9278,
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@article{10_1126_sciadv_abo7484,
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@article{10_1126_sciadv_adi9932,
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@article{10_1126_sciadv_adg9933,
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@article{10_1038_s41597-022-01786-5,
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@article{10_1038_s41597-022-01357-8,
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@article{10_1038_s41597-022-01252-2,
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@article{10_1038_s41560-022-01006-9,
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@article{10_1038_s41560-022-01105-7,
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@article{10_1038_s41560-022-01103-9,
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@article{10_1038_s41467-022-31233-3,
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@article{10_1038_s41467-022-30164-3,
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@article{10_1038_s41467-022-31942-9,
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@article{10_1038_s41467-022-29620-x,
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@article{10_1038_s41467-022-28551-x,
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@article{10_1038_s41467-022-34494-0,
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@article{10_1038_s41467-022-32792-1,
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@article{10_1093_pnasnexus_pgac314,
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@article{10_1093_pnasnexus_pgac195,
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@article{10_1093_pnasnexus_pgac131,
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@article{10_1038_s41598-022-12924-9,
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@article{10_1038_s41598-022-25255-6,
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@article{10_1038_s41598-022-18935-w,
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@article{10_1038_s41598-022-16090-w,
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@article{10_1038_s41598-022-09156-2,
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@article{10_1038_s41598-022-10433-3,
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@article{10_1038_s41598-022-14383-8,
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@article{10_1038_s41598-022-18310-9,
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@article{10_1038_s41598-022-10123-0,
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@article{10_1016_j_joule_2022_04_010,
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@article{10_1016_j_joule_2021_12_015,
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@article{10_1016_j_joule_2022_09_014,
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@article{10_1016_j_joule_2022_07_012,
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@article{10_1016_j_isci_2022_104741,
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@article{10_1016_j_isci_2021_103577,
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@article{10_1016_j_isci_2021_103723,
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@article{10_1016_j_isci_2022_104204,
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@article{10_1016_j_isci_2022_104352,
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@article{10_1126_sciadv_abo5977,
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@article{10_1126_sciadv_abj6734,
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@article{10_1126_sciadv_abq4853,
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@article{10_1038_s41597-021-00989-6,
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@article{10_1038_s41597-021-00963-2,
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@article{10_1038_s41597-021-00932-9,
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@article{10_1038_s41560-021-00857-y,
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@article{10_1038_s41560-020-00769-3,
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@article{10_1038_s41560-021-00873-y,
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@article{10_1038_s41560-021-00887-6,
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@article{10_1038_s41560-021-00915-5,
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@article{10_1038_s41467-021-25720-2,
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@article{10_1038_s41467-021-25123-3,
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@article{10_1038_s41467-020-20241-w,
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@article{10_1038_s41467-021-26182-2,
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@article{10_1038_s41467-021-22945-z,
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@article{10_1038_s41598-021-87721-x,
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@article{10_1038_s41598-021-84755-z,
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@article{10_1038_s41598-021-99161-8,
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@article{10_1038_s41598-021-88717-3,
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@article{10_1038_s41598-021-86961-1,
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@article{10_1016_j_joule_2021_06_018,
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@article{10_1016_j_joule_2020_12_016,
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@article{10_1016_j_joule_2021_08_001,
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@article{10_1016_j_joule_2021_06_002,
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@article{10_1016_j_joule_2021_11_006,
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@article{10_1016_j_joule_2021_06_011,
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@article{10_1016_j_joule_2021_05_009,
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@article{10_1016_j_oneear_2021_10_021,
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@article{10_1016_j_isci_2021_102139,
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@article{10_1016_j_isci_2021_102301,
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@article{10_1016_j_isci_2021_103058,
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@article{10_1016_j_isci_2021_102300,
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@article{10_1016_j_isci_2021_103375,
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@article{10_1126_sciadv_abe0219,
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@article{10_1126_sciadv_abj0200,
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@article{10_1126_sciadv_abd5684,
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@article{10_1038_s41597-020-00739-0,
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@article{10_1038_s41597-020-0434-6,
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@article{10_1038_s41597-020-0483-x,
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