Title :
Application of association rules mining in power demand-side management based on rough set
Author_Institution :
Sch. of Bus. & Adm., North China Electr. Power Univ., Baoding, China
Abstract :
Appling association rule mining to power demand-side management can supply references to optimizing decision-making project. The paper introduces the principle of using rough set in evaluation of DSM implementation. First, relevant attributes are simplified by rough set theory. And then, association computation rules based on rough set are constructed to reduce the scale of the decision table. Giving an example, it explains how power market behavior characters affect implementation of DSM projects.
Keywords :
data mining; decision making; demand side management; power engineering computing; power markets; rough set theory; association rules mining; decision-making project; power demand-side management; power market; rough set theory; Arithmetic; Association rules; Data mining; Decision making; Electric variables measurement; Energy management; Power markets; Power measurement; Project management; Set theory;
Conference_Titel :
Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3556-2
Electronic_ISBN :
978-1-4244-3557-9
DOI :
10.1109/IPEMC.2009.5157811
