Solar Power Generation Forecast Using Multivariate Convolution Gated Recurrent Unit Network

• Published in: Energies (Basel) Vol. 17; no. 13; p. 3073
• Main Authors: Cheng, Hsu-Yung, Yu, Chih-Chang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2024
• Subjects: Alternative energy sources; Datasets; Deep learning; Energy management; gated recurrent unit; Machine learning; Neural networks; photovoltaics; power generation prediction; Renewable resources; Seasonal variations; Solar energy; Statistical methods; Time series; Taiwan

For the advancement of smart grids, solar power generation predictions have become an important research topic. In the case of using traditional modeling methods, excessive computational costs may be incurred and it is difficult for these methods to learn the multi-variable dependencies of the data....