About
GridGenius is an AI-Powered Energy Optimization System developed to tackle the challenges of energy management in Bangladesh. By leveraging historical data and advanced machine learning, it aims to provide accurate energy demand forecasts and actionable insights for a more efficient and sustainable energy future.
Core Features & Goals
Accurate Forecasting
Utilizes ML models (including Transformers) trained on years of daily data to predict energy demand.
LLM-Powered Insights
Integrates an LLM (via RAG) to explain data trends, model behavior, and project details conversationally.
Optimization & Sustainability
Aims to reduce resource wastage and lower carbon footprint by enabling optimized energy generation based on predicted needs.
Our Approach
GridGenius employs a hybrid approach, combining traditional Machine Learning (like XGBoost, Random Forest), Deep Learning (Transformers), and Large Language Models (LLM via RAG). Our foundation is a custom-built dataset meticulously scraped and cleaned from official BPDB reports spanning 2020-2024.
Meet the Team
GridGenius is a research project by team 'Human Forgetting' at North South University.