Hybrid genetic algorithms for forecasting power systems state variables

2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Volumn , Issue , 2013, Pages

  Kurbatsky, Victor ^a   Tomin, Nikita ^a   Sidorov, Denis ^a   Spiryaev, Vadim ^a  

^a ENERGY SYSTEMS INSTITUTE   (Russian Federation)

Author keywords

active power flow; ANN; forecast; genetic algorithm; Hilbert Huang transform; support vector machine

Indexed keywords

ACTIVE POWER FLOW; ANN; HILBERT HUANG TRANSFORMS; HYBRID GENETIC ALGORITHMS; ORTHOGONAL BASIS FUNCTION; SHORT-TERM FORECASTS; SIMULATED ANNEALING ALGORITHMS; SUPPORT VECTOR MACHINE ALGORITHM;

CIRCUIT THEORY; ELECTRIC POWER SYSTEMS; GENETIC ALGORITHMS; NEURAL NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

FORECASTING;

EID: 84890868453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2013.6652215     Document Type: Conference Paper

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