Hourly photovoltaics power output prediction for Malaysia using support vector regression

• Main Authors: Baharin, Kyairul Azmi, Abdul Rahman, Hasimah, Hassan, Mohammad Yusri, Chin, Kim Gan
• Format: Conference or Workshop Item
• Published: 2015
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/61458/; https://eventegg.com/peoco-2015/

Reliable solar energy forecasting enables grid operators to manage the grid better as PV penetration level increases. This research explores the use of support vector regression to forecast hourly power output from a grid-connected PV system in Malaysia. Data is obtained from a grid-connected PV sys...