Affiliation:
1. University of Wollongong in Dubai, UAE
2. Rafik Hariri University, Lebanon
3. Lebanese International University, Lebanon
Abstract
The field of power engineering has experienced significant advancements as a result of the integration of artificial intelligence methodologies, such as expert systems machine learning and artificial neural networks. In contemporary renewable energy systems, these approaches provide robust resources for the purposes of design, simulation, estimate, fault diagnostics, and fault-tolerant control. Over the course of recent decades, there has been rapid progress in the field of artificial intelligence technology, leading to a substantial increase in the utilization of AI applications inside modern industrial systems. This chapter provides an overview of the function of artificial intelligence in renewable energy systems. Three different types of renewable energy systems have been introduced in this discussion, including solar photovoltaic systems, wind turbine systems, and geothermal energy plants. Following the presentation of these systems, the authors proceed to critically examine the role of artificial intelligence in power prediction and defect detection within those systems.
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