A New Optimization Technique Of Support Vector Machine For Electricity Market Price Forecasting

• Main Authors: Wan Abdul Razak, Intan Azmira, Zainal Abidin, Izham, Yap, Keem Siah, Sulaima, Mohamad Fani, Hassan, Elia Erwani, Gan, Chin Kim
• Format: Technical Report
• Language: English
• Published: UTeM 2019
• Online Access: http://eprints.utem.edu.my/id/eprint/25475/1/A%20New%20Optimization%20Technique%20Of%20Support%20Vector%20Machine%20For%20Electricity%20Market%20Price%20Forecasting.pdf; http://eprints.utem.edu.my/id/eprint/25475/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118048
• Institution: Universiti Teknikal Malaysia Melaka

Forecasting price is an essential task in electrical power system. In terms of duration, it can be classified into three types, namely short term price forecasting, medium term price forecasting and long term price forecasting. Short term price forecasting such as day-ahead prediction provides forec...