Extreme learning machine for prediction of heat load in district heating systems

• Main Authors: Sajjadi, S., Shamshirband, S., Alizamir, M., Yee, P. L., Mansor, Z., Manaf, A. A., Altameem, T. A., Mostafaeipour, A.
• Format: Article
• Published: Elsevier Ltd 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/72410/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971607430&doi=10.1016%2fj.enbuild.2016.04.021&partnerID=40&md5=afea044661fe4fe0f3dc6f8dfe3a0d3d
• Institution: Universiti Teknologi Malaysia

District heating systems are important utility systems. If these systems are properly managed, they can ensure economic and environmental friendly provision of heat to connected customers. Potentials for further improvement of district heating systems' operation lie in improvement of present co...