DocumentCode :
2671526
Title :
Applications of Neural Networks and Decision Trees to Energy Management System Functions
Author :
Borioli, E. ; Ciapessoni, E. ; Cirio, D. ; Gaglioti, E.
Author_Institution :
Power Syst. Dev. Dept., ERSE, Milan, Italy
fYear :
2009
fDate :
8-12 Nov. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Artificial neural network (ANN) and decision tree (DT) applications are proposed to contribute to control room energy management system (EMS) functions respectively aimed to assess critical conditions leading to inter-area oscillations, to evaluate the loading margin, and to support state estimation. To facilitate the design, the setting of the parameters, the training of ANNs and the growing of DTs, a tool has been developed within Matlab environment, that allows the user to design and train in an effective way ANNs and DTs with no need to write any procedure or line of code. The tool has been applied in the analysis of the above problems providing a valid support in training and testing both ANNs and DTs.
Keywords :
decision trees; load management; neural nets; power engineering computing; power system management; power system stability; state estimation; artificial neural network; critical condition; decision tree; energy management system; inter area oscillation; loading margin; state estimation; Artificial intelligence; Artificial neural networks; Decision trees; Energy management; Graphical user interfaces; Management training; Medical services; Neural networks; State estimation; Testing; Decision Trees; Loading Margin; Neural Networks; Oscillatory Stability Assessment; State Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4244-5097-8
Type :
conf
DOI :
10.1109/ISAP.2009.5352891
Filename :
5352891
Link To Document :
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