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Advisor(s)
Abstract(s)
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.
Description
Keywords
Consumer characterization Data mining Demand Response Electricity markets Knowledge discovery Machine learning Power systems Strategic behavior
Citation
Publisher
IEEE