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...
| 出版年: | Energy Engineering: Journal of the Association of Energy Engineering |
|---|---|
| 第一著者: | |
| 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 |