| ---
|
| license: cc-by-4.0
|
| task_categories:
|
| - time-series-forecasting
|
| - tabular-regression
|
| - reinforcement-learning
|
| language:
|
| - en
|
| tags:
|
| - synthetic
|
| - energy
|
| - vpp
|
| - virtual-power-plant
|
| - derms
|
| - smart-grid
|
| - solar
|
| - battery-storage
|
| - utilities
|
| pretty_name: Solstice Residential Energy (VPP) Pack
|
| size_categories:
|
| - 1K<n<10K
|
| configs:
|
| - config_name: battery_systems
|
| data_files:
|
| - split: train
|
| path: data/battery_systems/train.csv
|
| - config_name: billing_and_savings
|
| data_files:
|
| - split: train
|
| path: data/billing_and_savings/train.csv
|
| - config_name: channel_attribution
|
| data_files:
|
| - split: train
|
| path: data/channel_attribution/train.csv
|
| - config_name: daily_generation_consumption
|
| data_files:
|
| - split: train
|
| path: data/daily_generation_consumption/train.csv
|
| - config_name: dashboard_suggestions
|
| data_files:
|
| - split: train
|
| path: data/dashboard_suggestions/train.csv
|
| - config_name: dispatch_events
|
| data_files:
|
| - split: train
|
| path: data/dispatch_events/train.csv
|
| - config_name: households
|
| data_files:
|
| - split: train
|
| path: data/households/train.csv
|
| - config_name: installation_pipeline
|
| data_files:
|
| - split: train
|
| path: data/installation_pipeline/train.csv
|
| - config_name: metric_definitions
|
| data_files:
|
| - split: train
|
| path: data/metric_definitions/train.csv
|
| - config_name: outage_events
|
| data_files:
|
| - split: train
|
| path: data/outage_events/train.csv
|
| - config_name: portfolio_kpis_daily
|
| data_files:
|
| - split: train
|
| path: data/portfolio_kpis_daily/train.csv
|
| - config_name: service_tickets
|
| data_files:
|
| - split: train
|
| path: data/service_tickets/train.csv
|
| - config_name: solar_systems
|
| data_files:
|
| - split: train
|
| path: data/solar_systems/train.csv
|
| - config_name: subscriber_contracts
|
| data_files:
|
| - split: train
|
| path: data/subscriber_contracts/train.csv
|
| - config_name: utility_tariffs
|
| data_files:
|
| - split: train
|
| path: data/utility_tariffs/train.csv
|
| - config_name: vpp_program_enrollment
|
| data_files:
|
| - split: train
|
| path: data/vpp_program_enrollment/train.csv
|
| ---
|
|
|
| # Solstice Residential Energy (VPP) Pack (Sample)
|
|
|
| **A high-fidelity synthetic dataset for residential energy transition and VPP operations.** This dataset simulates the lifecycle of residential solar and battery systems, including installation pipelines, daily generation/consumption telemetry, and Virtual Power Plant (VPP) dispatch events.
|
|
|
| Built by [Solstice AI Studio](https://www.solsticestudio.ai/datasets) as a free sample of a larger commercial pack. 100% synthetic — no real household or utility data.
|
|
|
| ## What's in the box
|
|
|
| This dataset consists of 16 interconnected tables covering:
|
| - **Asset Dimensions:** `households`, `solar_systems`, `battery_systems`, `utility_tariffs`
|
| - **Telemetry Fact Tables:** `daily_generation_consumption`
|
| - **Operational Events:** `outage_events`, `dispatch_events`, `service_tickets`
|
| - **VPP & Commercial:** `subscriber_contracts`, `vpp_program_enrollment`, `billing_and_savings`
|
| - **Growth & Marketing:** `installation_pipeline`, `channel_attribution`
|
|
|
| ## Use Cases
|
| - **VPP Optimization:** Train RL agents to optimize battery dispatch during grid stress events.
|
| - **Grid Stability Research:** Model the impact of residential solar/storage on simulated grid outages.
|
| - **Customer Analytics:** Identify high-propensity households for VPP enrollment based on usage patterns.
|
| - **Financial Modeling:** Simulate savings and ROI for residential solar portfolios under different tariff structures.
|
|
|
| ## Data Provenance
|
| Generated using Solstice’s PhantasOS / SIMA simulation engine. The simulation models physics-aligned generation (based on simulated weather seeds) and realistic household load profiles, alongside commercial contract logic.
|
|
|
| ## Get the Full Pack
|
| Scale this dataset to 100K+ households, multiple utility regions, and high-resolution (15-min) telemetry.
|
| [www.solsticestudio.ai/datasets](https://www.solsticestudio.ai/datasets)
|
|
|
