SVR-Based Model to Forecast PV Power Generation under Different Weather Conditions

• Main Authors: Das, U.K., Tey, Kok Soon, Seyedmahmoudian, M., Idris, Mohd Yamani Idna, Mekhilef, Saad, Horan, B., Stojcevski, A.
• Format: Article
• Published: MDPI 2017
• Subjects: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/19196/; http://dx.doi.org/10.3390/en10070876

Inaccurate forecasting of photovoltaic (PV) power generation is a great concern in the planning and operation of stable and reliable electric grid systems as well as in promoting large-scale PV deployment. The paper proposes a generalized PV power forecasting model based on support vector regression...