GCC electrical long-term peak load forecasting modeling using ANFIS and MLR methods
It is important to develop a suitable model to calculate electricity demand forecasting requested by decision makers. The present study deals with the electrical long-term peak load demand forecasting using a developed Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Taylor & Francis Group
2019-01-01
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| Serie: | Arab Journal of Basic and Applied Sciences |
| Soggetti: | |
| Accesso online: | http://dx.doi.org/10.1080/25765299.2019.1565464 |
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