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A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

This paper presents a novel design of interval type-2 fuzzy logic systems (IT2FLS) by utilizing the theory of extreme learning machine (ELM) for electricity load demand forecasting. ELM has become a popular learning algorithm for single hidden layer feed-forward neural networks (SLFN). From the func...

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Bibliographic Details
Main Authors: Hassan, S., Khosravi, A., Jaafar, J., Khanesar, M.A.
Format: Article
Published: Elsevier Ltd 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961198334&doi=10.1016%2fj.ijepes.2016.03.001&partnerID=40&md5=8c869d4aac8b6eb26ed7c4b1025167b3
http://eprints.utp.edu.my/25700/
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961198334&doi=10.1016%2fj.ijepes.2016.03.001&partnerID=40&md5=8c869d4aac8b6eb26ed7c4b1025167b3
http://eprints.utp.edu.my/25700/

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