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...
| Main Authors: | Hassan, S., Khosravi, A., Jaafar, J., Khanesar, M.A. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.25700 / |
| Published: |
Elsevier Ltd
2016
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| 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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