Weather impact on solar farm Performance : A comparative analysis of machine learning techniques

• Main Authors: Gopi, Ajith, Sharma, Prabhakar, Sudhakar, Kumarasamy, Ngui, Wai Keng, Kirpichnikova, Irina, Cuce, Erdem
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TL Motor vehicles. Aeronautics. Astronautics
• Online Access: http://umpir.ump.edu.my/id/eprint/38196/1/Weather%20impact%20on%20solar%20farm%20performance_A%20comparative%20analysis%20of%20machine%20learning%20techniques.pdf; http://umpir.ump.edu.my/id/eprint/38196/; https://doi.org/10.3390/su15010439; https://doi.org/10.3390/su15010439

Forecasting the performance and energy yield of photovoltaic (PV) farms is crucial for establishing the economic sustainability of a newly installed system. The present study aims to develop a prediction model to forecast an installed PV system’s annual power generation yield and performance ratio (...