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Hybrid genetic algorithms for forecasting power systems state variables

Kurbatsky V., Tomin N., Sidorov D., Spiryaev V. Hybrid genetic algorithms for forecasting power systems state variables // Proc. of the Int. conf. IEEE PowerTech 2013. Гренобль France. 16-20 June 2013. 1 p. ISBN (print): 9781467356. DOI: 10.1109/PTC.2013.6652215 A problem of forecasting state variables of electric power system is studied. The paper suggests data-driven adaptive approach based on hybrid-genetic algorithm which combines the advantages of genetic algorithm and simulated annealing algorithm...

Теги: active power flow , ann , hilbert huang transforms , hybrid genetic algorithms , orthogonal basis function , short-term forecasts , simulated annealing algorithms , support vector machine algorithm , circuit
Раздел: ИСЭМ СО РАН


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