A review of electric load classification in smart grid environment

• Published in: Renewable & sustainable energy reviews Vol. 24; pp. 103 - 110
• Main Authors: Zhou, Kai-le, Yang, Shan-lin, Shen, Chao
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.08.2013; Elsevier
• Subjects: Applied sciences; Clustering methods and result evaluation methods; Economic data; Electric energy; electricity; Energy; Energy economics; Exact sciences and technology; General, economic and professional studies; Load classification; Load classification applications; Methodology. Modelling; Process model; Smart grid; tariffs; Process model; Clustering methods and result evaluation methods; Load classification; Load classification applications; Smart grid

The load data in smart grid contains a lot of valuable knowledge, which is useful for both electricity producers and consumers. Load classification is an important issue in load data mining. A five-stage process model of load classification is constructed based on the summary and analysis of studies...