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.

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Adib Ar Rahman Khan

Adib Ar Rahman Khan

North South University

Aurongojeb Lishad

Aurongojeb Lishad

North South University

Sadia Islam Mou

Sadia Islam Mou

North South University

Pranoy Saha

Pranoy Saha

North South University