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Accurate forecasting of low wind power is crucial for mitigating these impacts. However, conventional methods struggle with few-sample issues due to the infrequent occurrence of low wind power, ...

Furthermore, a day-ahead demand response potential forecast method is proposed using deep convolutional generative adversarial networks. The proposed forecast method is tested using data from 170 ...