Data mining applications in power systems - case-studies and future trends


Autoria(s): Vale, Zita; Ramos, Carlos; Ramos, Sérgio; Pinto, Tiago
Data(s)

29/04/2013

29/04/2013

2009

15/04/2013

Resumo

Presently power system operation produces huge volumes of data that is still treated in a very limited way. Knowledge discovery and machine learning can make use of these data resulting in relevant knowledge with very positive impact. In the context of competitive electricity markets these data is of even higher value making clear the trend to make data mining techniques application in power systems more relevant. This paper presents two cases based on real data, showing the importance of the use of data mining for supporting demand response and for supporting player strategic behavior.

Identificador

DOI 10.1109/TD-ASIA.2009.5356830

978-1-4244-5230-9

http://hdl.handle.net/10400.22/1460

Idioma(s)

eng

Publicador

IEEE

Relação

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5356830

Direitos

closedAccess

Palavras-Chave #Consumer characterization #Data mining #Demand Response #Electricity markets #Knowledge discovery #Machine learning #Power systems #Strategic behavior
Tipo

conferenceObject