Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 - energy-management
 - smart-grid
 ---
-# ☀️ SolarSys: Scalable Hierarchical Coordination for Distributed Solar Energy
+# SolarSys: Scalable Hierarchical Coordination for Distributed Solar Energy
 
 [Source: The SolarSys paper (e.g., your PDF) is the primary source for all claims below.]
 
@@ -16,20 +16,8 @@ tags:
 
 ---
 
-## 🚀 Key Features and Performance
 
-[cite_start]SolarSys addresses the scalability limitations of traditional Multi-Agent RL (MARL) methods (like MAPPO and MADDPG) in large Virtual Power Plants (VPPs)[cite: 9, 145].
-
-| Metric | SolarSys Performance (1000 Agents) | Key Mechanism |
-| :--- | :--- | :--- |
-| **Grid Import Reduction** | [cite_start]$27.48 \pm 0.42\%$ [cite: 18] | [cite_start]Two-tier control scheme [cite: 12, 69] |
-| **Daytime Solar Utilization** | [cite_start]$82.76 \pm 5.11\%$ [cite: 18] | [cite_start]Intra-cluster MAPPO optimization [cite: 13] |
-| **Fairness (Jain's Index)** | [cite_start]0.773 [cite: 18] | [cite_start]Fairness term in reward function [cite: 391, 511] |
-| **Scalability** | [cite_start]Stable convergence at 1000+ agents [cite: 504] | [cite_start]Mean-Field Coordination at the Inter-Cluster layer [cite: 14] |
-
----
-
-## 🧠 System Architecture
+## System Architecture
 
 The core of SolarSys is a two-level decision hierarchy:
 
@@ -40,7 +28,7 @@ The core of SolarSys is a two-level decision hierarchy:
 
 ---
 
-## 📊 Data Generation Framework
+##  Data Generation Framework
 
 [cite_start]To enable large-scale simulation with realistic temporal dynamics, SolarSys includes a **Hierarchical Diffusion Model** for generating synthetic, long-duration energy profiles that maintain both long-term (seasonal/monthly) and short-term (daily/hourly) characteristics[cite: 254, 255].
 
@@ -52,7 +40,7 @@ The core of SolarSys is a two-level decision hierarchy:
 
 ---
 
-## 📁 Repository Structure
+## Repository Structure
 
 The project is organized into core modules and data folders.