Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1460
Título: Data mining applications in power systems - case-studies and future trends
Autor: Vale, Zita
Ramos, Carlos
Ramos, Sérgio
Pinto, Tiago
Palavras-chave: Consumer characterization
Data mining
Demand Response
Electricity markets
Knowledge discovery
Machine learning
Power systems
Strategic behavior
Data: 2009
Editora: IEEE
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.
URI: http://hdl.handle.net/10400.22/1460
ISBN: 978-1-4244-5230-9
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5356830
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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