Title :
Application of association rules mining in power demand-side management
Author_Institution :
Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding
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;
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
DOI :
10.1109/ICMLC.2008.4620577
