AI is a new technology, and although it is seen by many in the energy business as a revolutionary one, there are some unknowns surrounding its influence. In the subsequent chapter, there will be a full discussion of the AI applications in the energy sector that are based on machine learning, deep learning, optimization techniques, and natural language processing. We investigate in depth the whole spectrum of the employment of those technologies, which span the domains of energy forecasting, demand side management, and ultimately anomaly detection, as well as additional fashionable phenomena. As far as each renewable energy field is concerned, provided are real-world examples to illustrate how AI may be utilized in the integration of renewable energy, smart grid management, energy efficiency, and energy market forecasts. In addition, we bring up challenges like data quality, inter-connectivity, and ethical dilemmas, as well as the future prospects of AI-based energy informatics trends. The objective of this study is to analyze AI applications in the energy sector presently and examine their influence on the environment to supply policymakers, researchers, and practitioners with knowledge in connection with artificial intelligence in a changing energy sector.