Year: 2025
Type: article
Abstract: Renewable Energy Sources (RESs) are widely penetrating power systems, due to their environmental compatibility and shortage reserve of the fossil fuels. This mandates the application of intelligent, innovative and smart techniques for forecasting, controlling and managing of RESs. However, RESs suffer from uncertainty, weather and operating condition dependence, which considers as a major challenge of the conventional controlling strategy. Artificial Intelligence (AI) enjoys the advantage of adapting the control and operating routines according to the system status, which is attributed to the numerous training scenarios. AI in the areas of RESs could improve their reliability, security and sustainability. Moreover, AI could boost the operation of different energy storage systems, which are considered integral part for different RESs system. This article comprehensively analyzes several literatures regarding AI for RESs. Moreover, comprehensive comparisons between conventional controlling and driving systems of AI in fields of RESs are given in the article. The article moreover addresses the storage system for RESs and the impact of application of AI in improving the energy management of such systems. The article acts as simple and reliable tools for researchers and engineers in the area of AI for RES.
Authors: Ahmed Ezzat, Alaa Mahmoud, Ahmed Abd el hafez
Institutions: Sohag University, Assiut University
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
Funder: Assiut University
OpenAlex ID: W4412047014