Short- and medium-term forecasting of distributed PV output in plateau regions based on a hybrid MLP-FGWO-PSO approach

• DOI: 10.1016/j.egyr.2024.01.080
• Publication Date: 2024-02-22T06:34:18Z
• Authors: Chongyu Cui; Hongmei Wu; Xiaoyan Jiang; Liupan Jing
• Keywords: Medium term

Photovoltaic (PV) power generation is highly valued for its straightforward implementation and use of sustainable solar resources. However, PV systems in highland regions face greater variability unpredictability due to complex, fluctuating weather patterns, making accurate forecasting output difficult. Current methods fail adequately account the numerous factors impacting productivity do not reliably optimize prediction accuracy convergence speed. This paper puts forth a hybrid MLP-FGWO-PSO approach highlands, utilizing combination algorithm leverage similarities across days. The proposed method refines grey wolf optimization (GWO) technique integrates it with particle swarm (PSO) multilayer perceptron (MLP) models. Through standardized evaluation, model demonstrates improved accuracy, stability, precision by fully accommodating variable meteorological conditions.