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Machine learning in electric power systems adequacy assessment using Monte-Carlo method

... using Monte-Carlo method. To attack this problem the novel method is suggested to reduce number of random states to be analyzed. The machine learning methods are employed for electric power system states precalculated classification. Random forest and support vector machine methods are proposed to use for solving this problem. Efficiency of proposed approach is demonstrated on test scheme. © 2017 IEEE. входит

Теги: adequacy assessment , electric power systems , machine learning , monte carlo method , random forest , support vector machine , artificial intelligence , computational efficiency , decision trees , efficiency , learning systems , problem solving , support vector mach
Раздел: ИСЭМ СО РАН


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