AI-Driven Optimization of Renewable Energy Systems in Ethiopia: A National Framework

This study proposes an AI-driven national framework for Ethiopia that integrates LSTM, XGBoost, and Reinforcement Learning models to optimize renewable energy forecasting and grid management, successfully improving predictive accuracy and reducing energy losses to support the country's sustainable energy transition.

Original authors: Kejela Adane Dulecha, Tolcha Lemma Sime, Zawde Tolossa Ararso, Misker Shumeye Kassahun, Muhidin Mohammed Debiso, Eliyab Yosef Delelew