Hybridization solution of electrical energy demand response and forecasting program by using PSO-LSSVM technique

• Main Authors: Ali, Amira Noor Farhanie, Sulaima, Mohamad Fani, Tahir, Musthafah Mohd., Razak, Intan Azmira Wan Abdul, Kadir, Aida Fazliana Abdul, Rahman, Zulkifli Ab.
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Online Access: http://eprints.utem.edu.my/id/eprint/27946/1/Hybridization%20solution%20of%20electrical%20energy%20demand%20response%20and%20forecasting%20program%20by%20using%20PSO-LSSVM%20technique.pdf; http://eprints.utem.edu.my/id/eprint/27946/; https://sciprofiles.com/publication/view/ef693db4a272834558654fdf18b521a3

The ever-growing electricity market provides an excellent opportunity for the industrial sector to implement effective energy management through demand response (DR). The demand for poultry meat and eggs is expected to continue increasing with the growing population, leading to higher energy generat...