GridOptima

GridOptima is an advanced simulation and control platform designed to stabilize modern power grids integrating high percentages of renewable energy sources.

Key Features

• Load Forecasting: Uses LSTM neural networks to predict power demand with 98% accuracy.
• Dynamic Stability: Real-time frequency regulation algorithms.
• DER Management: Coordination of Distributed Energy Resources (solar, wind, battery storage).

Technical Architecture

Built on Python for the core logic, utilizing Pandas for time-series analysis and PyTorch for predictive models. The frontend is a React dashboard communicating via WebSockets for real-time visualization.