An Adaptive Decision Tree Regression Modeling for the Output Power of Large-Scale Solar (LSS) Farm Forecasting

• Main Authors: Kassim N.M., Santhiran S., Alkahtani A.A., Islam M.A., Tiong S.K., Mohd Yusof M.Y., Amin N.
• Other Authors: 57189061699
• Format: Article
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2024
• Subjects: decision tree regression; energy; forecast; global irradiance; large-scale solar PV; PV plant output; Malaysia; decision analysis; forecasting method; irradiance; photovoltaic system; power plant; regression analysis; solar power
• Institution: Universiti Tenaga Nasional

The installation of large-scale solar (LSS) photovoltaic (PV) power plants continues to rise globally as well as in Malaysia. The data provided by LSS PV consist of five weather stations with seven parameters, a 22-unit inverter, and 1-unit PQM Meter Grid as a big dataset. These big data are rapidly...