0000000000892463

AUTHOR

Tzu Chao Lin

showing 2 related works from this author

GA-ANN for Short-Term Wind Energy Prediction

2011

Wind turbine power output is totally intermittent in the nature. For grid connected wind turbine generators, power system operators (transmission system operators) need reliable and robust wind power forecasting system. Rapid changes in the wind generation relative to the load require proper energy management system to maintain the power system stability and of course to balance the power generation, frequency, voltage regulation within the statutory limits. Accurate wind energy forecasting helps the power system transmission system operators in anticipating rapid changes in wind turbine power output with respect to load and helps in making decision not only for optimum energy management bu…

EngineeringWind powerbusiness.industryWind power forecastingControl engineeringWind speedGrid parityAutomotive engineeringPower optimizerStand-alone power systemElectric power systemElectricity generationbusinessPhysics::Atmospheric and Oceanic Physics2011 Asia-Pacific Power and Energy Engineering Conference
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Application of artificial neural network and genetic algorithm to forecasting of wind power output

2007

tuulienergiagenetic algorithmforecastingneuroverkotwind powerartificial neural network
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