5G Base Station Power Consumption Using Machine Learning

Accurate power consumption forecasting plays a pivotal role in energy management, influencing both utility operations and customer experience. With increasing emphasis on sustainable energy use and efficient grid management, precise predictions of power demand are essential. This project explores the application of machine learning and deep learning techniques to develop a predictive framework for forecasting power consumption, aiming to support energy providers in optimizing supply strategies, minimizing wastage, and improving energy reliability.