Load forecasting using combination model of multiple linear regression with neural network for Malaysian City

• Main Authors: Kamisan, Nur Arina Bazilah, Lee, Muhammad Hisyam, Suhartono, Suhartono, Hussin, Abdul Ghapor, Zubairi, Yong Zulina
• Format: Article
• Published: Penerbit Universiti Kebangsaan Malaysia 2018
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/85717/; http://dx.doi.org/10.17576/jsm-2018-4702-25

Forecasting a multiple seasonal data is differ from a usual seasonal data since it contains more than one cycle in a data. Multiple linear regression (MLR) models have been used widely in load forecasting because of its usefulness in the forecast a linear relationship with other factors but MLR has...