Demand-side load forecasting in smart grids using machine learning techniques

Electrical load forecasting remains an ongoing challenge due to various factors, such as temperature and weather, which change day by day. In this age of Big Data, efficient handling of data and obtaining valuable information from raw data is crucial. Through the use of IoT devices and smart meters,...

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Autors principals:	Muhammad Yasir Masood, Sana Aurangzeb, Muhammad Aleem, Ameen Chilwan, Muhammad Awais
Format:	Artigo
Idioma:	Inglês
Publicat:	PeerJ Inc. 2024-04-01
Col·lecció:	PeerJ Computer Science
Matèries:	Artificial intelligence Data mining and machine learning Forecasting and prediction Data science Smart grid
Accés en línia:	https://peerj.com/articles/cs-1987.pdf
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