Year: 2024
Type: article
Abstract: With the continuous growth of global demand for renewable energy, photovoltaic power generation, as a clean and efficient form of energy, has received widespread attention. However, photovoltaic power is affected by various factors such as irradiance, temperature, resulting in significant fluctuations in its output power. Therefore, accurate prediction of photovoltaic power is of great significance for the stable operation of the power system. In recent years, the rapid development of artificial intelligence technology has provided new solutions for photovoltaic power prediction. This paper will review the photovoltaic power prediction based on artificial intelligence methods, introduce its basic principles, application status, and challenges, in order to provide useful insights in related fields.
Author: Fuyi Liu
Institution: Anhui University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4402420771