Abstract:Wind energy is clean, reliable, and affordable renewable energy which can be harnessed during the day and night. Before a wind turbine is installed, wind resource assessment (WRA) must be conducted in order to evaluate the wind power potential. The most important parameter in WRA is the wind speed values. The traditional ways of measuring wind speed could not be relied on, due to time constraint and cost. Because of these problems, a prediction model using deep learning is proposed in paper to solve the linger… Show more
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