Enhancing the performance of building looad forecasting using hybrid of GLSSVM - ABC Model

• Main Authors: Daut, M. A. M., Ahmad, A. S., Hassan, M. Y., Abdullah, H., Abdullah, M. P., Husin, F.
• Format: Conference or Workshop Item
• Published: EDP Sciences 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/73102/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986205366&doi=10.1051%2fmatecconf%2f20167010010&partnerID=40&md5=35ecf2fefdfc4d50e6f8e59a4eac189c

In conducting load forecasting, the accuracy of forecasting is an important aspect in planning and managing electricity. Thus, a new hybrid model is presented in this paper, which combines the Group Method of Data Handling, Least Square Support Vector Machine and Artificial Bee Colony (GLSSVM- ABC)...