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Zeros-MTL-CLDBN: A Robust Multitask Deep-Learning Framework via Deep-Belief Network with Correntropy Loss for Ultrashort-Term Multistep Wind Power Forecasting
Publisher: American Society of Civil Engineers
Abstract: AbstractAccurate ultrashort-term multistep wind power forecasting (WPF) remains a critical
challenge in renewable energy systems due to the inherent stochasticity, non-Gaussian
fluctuations, and volatility of wind energy. ...
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