Echo-state-network-based real-time wind speed estimation for wind power generation

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 2572-2579

  Qiao, Wei ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DOUBLY-FED INDUCTION GENERATOR; ELECTRICAL POWER; HARDWARE COMPLEXITY; INVERSE MODELS; MECHANICAL SENSORS; MW WIND TURBINE; NETWORK-BASED; REAL TIME; SHAFT SPEED; SIMULATION STUDIES; SPEED SENSORLESS CONTROL; SYSTEM MONITORING; TURBINE BLADE; WIND SPEED; WIND TURBINE GENERATORS;

ALGORITHMS; ASYNCHRONOUS GENERATORS; ELECTRIC EQUIPMENT PROTECTION; ELECTRIC FAULT CURRENTS; ELECTRIC GENERATORS; ELECTRIC POWER GENERATION; ENGINES; MINING; NEURAL NETWORKS; SIMULATORS; SPEED; WIND EFFECTS; WIND POWER; WIND TURBINES;

REAL TIME SYSTEMS;

EID: 70449436491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178795     Document Type: Conference Paper

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