Long-Term Load Forecasting Using Adaptive Neuro-Fuzzy Inference System: A Case Study of 330kV Mando
Increasing energy efficiency and reliability of power grids is becoming an essential part of grid en
Hybrid intelligent systems have previously been centered on forecasting solar energy using meteorolo
This paper is concerned with the reliable prediction of electricity demands using the Adaptive Neuro
International audience This study proposes an original adaptive neuro-fuzzy inference