Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
In this paper, a hybrid electricity price forecasting method which is composed of two-stage feature selection method and optimized adaptive neuro-fuzzy inference system (ANFIS) technique as a forecasting engine is proposed to accurately forecast electricity price. A multi-objective feature selection...
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Main Authors: | , , , , |
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Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers
2019
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Subjects: | |
Online Access: | http://eprints.um.edu.my/23744/ https://doi.org/10.1109/ACCESS.2019.2922420 |
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Institution: | Universiti Malaya |
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