Energy Demand Forecasting and Analysis project for the Digital Egypt Pioneers Initiative (DEPI) - AI & Data Science Track
# Energy-Demand-Forecasting
Energy Demand Forecasting and Analysis project for the Digital Egypt Pioneers Initiative (DEPI) - AI & Data Science Track
Project Overview
This project focuses on building a machine learning pipeline to predict future energy demand. It aims to optimize load distribution and help organizations make data-driven decisions.
Team Members
Kareem Ayman Mohamed Elaskary (Team Leader)
Kareem Mohammed Hasan Mahmoud
Islam Elsayed Nabil Abuarab
Ahmed Ayman Farag Gharib
Milestone 1 Deliverables
The following documents have been submitted for the first milestone:
Project Planning: Includes the project scope, timeline, and task assignments.
Requirements Gathering: Outlines functional and non-functional requirements.
Literature Review: Summarizes research on ARIMA, ML, and Deep Learning models.
Technical StackLanguage: Python
Libraries: Pandas, NumPy, Scikit-learn, XGBoost
Deployment: Flask/FastAPI & Streamli