Artificial Intelligence Applications in Renewable Energy Systems

Abstract

Implementing clean energy sources into an electrical system provides a cost-effective alternative for limited energy usage while reducing carbon pollution. Renewable energies, which include photovoltaic panels and winds, are inconsistent in power output due to their reliance on meteorological conditions, including radiation from the sun, heat, and moisture. As a result, various prediction techniques have been established to increase the predictability of alternative energy sources. Recent knowledge, for example, AI [artificial intelligence] and ML [machine learning], provide several opportunities to deal with these issues. Artificial intelligence [AI] technology has increased in recent years, and its application in present manufacturing systems has expanded rapidly. The primary intention of this work remains to demonstrate how well AI artificial intelligence techniques may be used to model and predict renewable energy resources.