Reinforcement learning system that optimizes energy distribution, predicts demand patterns, and prevents blackouts in smart power grids.
-
Updated
Nov 10, 2025 - Python
Reinforcement learning system that optimizes energy distribution, predicts demand patterns, and prevents blackouts in smart power grids.
A project leveraging LSTM and XGBoost to analyze and predict energy usage, identify inefficiencies, and optimize costs across buildings, providing actionable insights for energy management and savings.
Add a description, image, and links to the energy-optimization-recommendations topic page so that developers can more easily learn about it.
To associate your repository with the energy-optimization-recommendations topic, visit your repo's landing page and select "manage topics."