Long-term electricity demand forecasting for malaysia using artificial neural networks in the presence of input and model uncertainties

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Long-term electricity demand forecasting for malaysia using artificial neural networks in the presence of input and model uncertainties

Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of i...

書誌詳細
出版年:	Energy Engineering: Journal of the Association of Energy Engineering
第一著者:	Tai V.C.; Tan Y.C.; Rahman N.F.A.; Che H.X.; Chia C.M.; Saw L.H.; Ali M.F.
フォーマット:	論文
言語:	English
出版事項:	Tech Science Press 2021
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103836336&doi=10.32604%2fEE.2021.014865&partnerID=40&md5=812c19f73fdbd728bdf88ed438c45ee7

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