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...
| الحاوية / القاعدة: | Energy Engineering: Journal of the Association of Energy Engineering |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Tech Science Press
2021
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103836336&doi=10.32604%2fEE.2021.014865&partnerID=40&md5=812c19f73fdbd728bdf88ed438c45ee7 |