Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

Load forecasting is useful for various applications, including maintenance planning. The study of load forecasting using recent state-of-the-art hybrid artificial intelligence (AI) and deep learning (DL) techniques is limited in South Africa (SA) and South African power distribution networks. This p...

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Главные авторы:	Sibonelo Motepe, Ali N. Hasan, Riaan Stopforth
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2019-01-01
Серии:	IEEE Access
Предметы:	Adaptive neuro-fuzzy inference systems artificial intelligence deep learning distribution networks extreme learning machines load forecasting
Online-ссылка:	https://ieeexplore.ieee.org/document/8740999/
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