Forecasting and Comparative Application of PV System Electricity Generation for Sprinkler Irrigation Machines Based on Multiple Models

• Published in: Agronomy (Basel) Vol. 14; no. 11; p. 2696
• Main Authors: Li, Bohan, Liu, Kenan, Cai, Yaohui, Sun, Wei, Feng, Quan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2024
• Subjects: Accuracy; Agricultural industry; Agricultural production; Agriculture; Algorithms; Alternative energy sources; Comparative analysis; Configuration management; configuration optimization; Cultural heritage; Electric power production; Energy consumption; Energy costs; Forecasting; Industry forecasts; Irrigation; Irrigation systems; Machine learning; machine learning models; Mathematical models; Neural networks; Optimization; Overflow; Photovoltaic cells; Photovoltaics; Power supply; Prediction models; PVPG prediction; Random variables; Regional development; Reliability; Renewable resources; Scale models; Solar energy; Solar energy industry; solar sprinkler irrigation machine; Sprinkler irrigation; statistical model; Support vector machines; Sustainable development; time scales; China

Currently, photovoltaic (PV) resources have been widely applied in the agricultural sector. However, due to the unreasonable configuration of multi-energy collaboration, issues such as unstable power supply and high investment costs still persist. Therefore, this study proposes a solution to reasona...