Big data resolving using Apache Spark for load forecasting and demand response in smart grid: a case study of Low Carbon London Project

Abstract Using recent information and communication technologies for monitoring and management initiates a revolution in the smart grid. These technologies generate massive data that can only be processed using big data tools. This paper emphasizes the role of big data in resolving load forecasting,...

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Autori principali:	Hussien Ali El-Sayed Ali, M. H. Alham, Doaa Khalil Ibrahim
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2024-04-01
Serie:	Journal of Big Data
Soggetti:	Apache Spark Big data (BD) Demand response (DR) Load forecasting (LF) Smart grid (SG) Smart meters
Accesso online:	https://doi.org/10.1186/s40537-024-00909-6
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