Harnessing AI for Future Energy Consumption Forecasting and LLM-Powered Sustainable Code Optimization

Abstract

With increasing energy demand, forecasting electricity usage is essential to advance sustainability and reduce environmental effects. This study presents a new method to predict future trends in energy consumption, offering significant insights for individuals and organizations looking to improve energy efficiency. The research additionally includes large language models (LLMs) to generate energy-efficient software code, facilitating the creation of solutions that save energy. This initiative helps to reduce energy consumption by converting current codebases into improved versions with built-in version control. The results of this study emphasize the ability of innovative technologies to promote sustainable methods and reduce the environmental impact of the tech industry.