April 23, 2024, 4:44 a.m. | Haojian Huang

cs.LG updates on arXiv.org arxiv.org

arXiv:2311.16198v2 Announce Type: replace
Abstract: As an important clean and renewable kind of energy, wind power plays an important role in coping with energy crisis and environmental pollution. However, the volatility and intermittency of wind speed restrict the development of wind power. To improve the utilization of wind power, this study proposes a new wind speed prediction model based on data noise reduction technology, temporal convolutional network (TCN), and gated recurrent unit (GRU). Firstly, an adaptive data noise reduction algorithm …

arxiv cs.ce cs.lg farms network noise prediction speed technology temporal type wind

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