Project Update — AI Forecast Layer Enhanced!
Today we refined the AI forecasting layer for Q-SmartGrid
Integrated real campus-style data samples into Vertex AI for more accurate demand prediction. Cleaned and normalized input features such as temperature, occupancy, and schedule data. The model now predicts hourly load patterns with higher stability (R² ≈ 0.89). Preparing to connect the Gemini Pro module for generating energy-saving recommendations in natural language.
All updates pushed to GitHub → https://github.com/sabanasersaleem-oss/QSmartGrid-Quantum-AI
Log in or sign up for Devpost to join the conversation.