Application of association rules mining in power demand-side management

Author

Li, Yun-Yan

Author_Institution

Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding

Volume

2

fYear

2008

fDate

12-15 July 2008

Firstpage

1152

Lastpage

1155

Abstract

Applying association rule mining to power demand-side management can supply references to optimizing decision-making program by power-supply companies. We introduce the principle of advancing power demand-side management measure accepted by user using association rules, and discuss the feasibility of choosing load-adjusting electric-power terminal based on multi-dimensional association rule mining. Giving an example, it introduces the application of deciding the varieties of power demand-side management energy conservation technology according as user attributes, quarter.

Keywords

data mining; decision making; demand side management; power engineering computing; association rules mining; decision making; load-adjusting electric-power terminal; power demand-side management; supply references; Association rules; Conference management; Cybernetics; Data mining; Energy management; Itemsets; Machine learning; Power markets; Power measurement; Power supplies; Association rules; Data Mining; Data cube; Power demand-side management;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620577

Filename

4620577