A Comprehensive Survey on Role of Artificial Intelligence in Solar Energy Processes

The paper presents a survey with focus on role of Artificial Intelligence (AI) based strategies for effective energy utilization. The nature of the modelling technique in various AI applications for solar energy play a critical role in the simulation and estimation of renew-able energy performance and management to improve solar photovoltaic power generation. This article provides an introduction of common AI approaches used in solar energy, utilizing the power of Artificial Neural Networks, Fuzzy Logic, Hybrid Systems, Wavelet, and Genetic Algorithms, which are used to model, track, and forecast energy system performance. Further, it also discusses that how AI approaches facilitate solar radiation difficulties, improve solar photovoltaic module maintenance and other energy conversion and regulation processes. In addition to this, a recent state of the art survey has also been included to understand the impact of AI, Neural network, optimization techniques and their combinations-based techniques in solar energy processes. The contribution can be eyed as a compilation of all the AI and optimization techniques which will help readers and research-ers to identify the potential area to carry out the research activity in the related domain of energy conversion/regulation processes.