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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

... is assessed to control their operation and expansion. An effective method for reliability assessment is the Monte Carlo method. This process, however, is often time-consuming due to the large size of the power system. This interferes with subsequent control problems. The speed of reliability assessment and the accuracy of the result for the Monte Carlo method directly depend on the number of randomly generated states of the system, their quality and the complexity of the subproblem to be solved for ...

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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