Application of two stages adaptive neural network approach for short-term forecast of electric power systems

2011 10th International Conference on Environment and Electrical Engineering, EEEIC.EU 2011 - Conference Proceedings

Volumn , Issue , 2011, Pages

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

^a ENERGY SYSTEMS INSTITUTE   (Russian Federation)

Author keywords

artificial neural network; electric power system; Hilbert Huang transform; hybrid model; short term forecast

Indexed keywords

ADAPTIVE APPROACH; ADAPTIVE NEURAL NETWORKS; ARTIFICIAL NEURAL NETWORK; HILBERT HUANG TRANSFORMS; HILBERT TRANSFORM; HYBRID MODEL; INPUT FUNCTIONS; INPUT SELECTION; MODAL FUNCTIONS; OPERATING CONDITION; OPTIMAL COMBINATION; POWER FLOWS; REAL TIME; SHORT-TERM FORECASTS; TWO STAGE; VOLTAGE LEVELS;

COMPUTER SIMULATION; ELECTRIC POWER SYSTEMS; FORECASTING; MATHEMATICAL TRANSFORMATIONS; POWER TRANSMISSION; SIMULATED ANNEALING; TIME SERIES;

NEURAL NETWORKS;

EID: 79959986642     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EEEIC.2011.5874573     Document Type: Conference Paper

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