A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Electrical energy demand forecasting plays a pivotal role as a decision support tool in the modern power industry. The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. The...
| Main Authors: | ul Islam, B., Baharudin, Z. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19700 / |
| Published: |
UK Simulation Society
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017241870&doi=10.5013%2fIJSSST.a.17.41.04&partnerID=40&md5=f2b4655edc51bd0191ea547eb4e4565e http://eprints.utp.edu.my/19700/ |
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