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Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method

... shortage-free ones. To assess the reliability of power systems using the Monte Carlo method, one should analyze only the state of the system with a shortage. We suggest the use of machine learning methods to eliminate or sort the shortage and shortage-free states. The paper demonstrates the effectiveness of two methods: a support vector machine and a random forest. It also shows their performance when the Monte Carlo and quasi-Monte Carlo methods are used. © 2020 Elsevier Ltd нет

Теги: machine learning , monte carlo method , power system , random sequences , reliability , computational efficiency , decision trees , electric power systems , learning systems , reliability analysis , support vector machines , control problems , energy systems , free st
Раздел: ИСЭМ СО РАН


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