Evaluation of machine learning models for predicting daily global and diffuse solar radiation under different weather/pollution conditions

• Published in: Renewable energy Vol. 187; pp. 896 - 906
• Main Authors: Jia, Dongyu, Yang, Liwei, Lv, Tao, Liu, Weiping, Gao, Xiaoqing, Zhou, Jiaxin
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2022
• Subjects: China; Diffuse solar radiation; Global solar radiation; Machine learning; meteorological data; pollutants; pollution; power plants; Prediction; probability; solar energy; support vector machines; China; Diffuse solar radiation; Global solar radiation; Machine learning; Prediction

Due to the rapid development of solar energy and photovoltaic industries in China, it is crucial to provide the reliable and accurate solar radiation predictions. In this work, three commonly used machine learning models for predicting global and diffuse solar radiation were assessed in eight Chines...