Reference : Data mining tools and application in power system engineering
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/25760
Data mining tools and application in power system engineering
English
Olaru, Cristina [Université de Liège - ULg > Dép. d'électricité, électronique et informatique > Systèmes et modélisation > >]
Geurts, Pierre mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
1999
Proceedings of the 13th Power System Computation Conference, PSCC99
324-330
Yes
No
International
Trondheim, Norway
13th Power System Computation Conference
1999
Trondheim
Norway
[en] power systems ; machine learning
[en] The power system field is presently facing an explosive growth of data. The data mining (DM) approach provides tools for making explicit some implicit subtle structure in data. Applying data mining to power system engineering is an iterative and interactive process, requiring an acquainted user with the application specifics. The paper describes data mining tools like statistical methos, visualization, machine learning and neural networks, exemplifying by results obtained with a DM software developed for dynamic security assessment studies. Power system engineering applications where data mining would be useful are reviewed in the second part of the paper.
http://hdl.handle.net/2268/25760
http://www.montefiore.ulg.ac.be/services/stochastic/pubs/1999/OGW99

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