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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Hlavní autoři:	Muhammad Yasir Masood, Sana Aurangzeb, Muhammad Aleem, Ameen Chilwan, Muhammad Awais
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PeerJ Inc. 2024-04-01
Edice:	PeerJ Computer Science
Témata:	Artificial intelligence Data mining and machine learning Forecasting and prediction Data science Smart grid
On-line přístup:	https://peerj.com/articles/cs-1987.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!