Integrating Renewable Energy and Advanced Technologies for Sustainable Electricity Generation: A Comprehensive Review

In an era of rising energy consumption and environmental concerns, the imperatives of energy conservation and shifting to renewable energy sources have taken on unprecedented importance. The need for new solutions to combat climate change, to cut greenhouse gas emissions, and to ensure long-term energy security, highlights the importance of reshaping our energy environment. Existing literature falls short in thoroughly analyzing the use of advanced technologies in real-time energy management. This paper endeavors to address this gap and describes how machine learning, loT devices, and deep learning can all be used to monitor power grids, predict energy patterns, and control energy usage in real-time. In this paper, we have identified three research questions, and their answers are obtained after the analysis of the selected papers. The main findings of the paper dive into the specifics of how cutting-edge technologies might be paired with renewable energy sources to build energy systems that are smarter and more effective and describe how these sources can improve energy security, lower harmful emissions, and benefit local populations.