Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method

IEEE Transactions on Sustainable Energy

Volumn 6, Issue 2, 2015, Pages 422-433

  Cui, Mingjian ^a   Ke, Deping ^a   Sun, Yuanzhang ^a   Gan, Di ^a   Zhang, Jie ^b   Hodge, Bri Mathias ^b  

^a WUHAN UNIVERSITY   (China)

^b NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

Author keywords

Genetic algorithm (GA); neural networks (NNs); stochastic process model; stochastic scenario generation; wind power; wind power ramp events (WPREs)

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; GENETIC ALGORITHMS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; STOCHASTIC SYSTEMS; WEATHER FORECASTING; WIND POWER;

BONNEVILLE POWER ADMINISTRATIONS; NEURAL NETWORK (NN); NEURAL NETWORKS (NNS); POWER GRID OPERATIONS; RAMP EVENTS; SCENARIOS OF THE FUTURE; STOCHASTIC PROCESS MODEL; STOCHASTIC SCENARIO GENERATION;

STOCHASTIC MODELS;

EID: 85027957449     PISSN: 19493029     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSTE.2014.2386870     Document Type: Article

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