Short-term prediction for wind power based on temporal convolutional network

The fluctuation and intermittence of wind power bring great challenges to the operation and control of the distribution network. Accurate short-term prediction for wind power is helpful to avoid the risk caused by the uncertainties of wind powers. To improve the accuracy of short-term prediction for...

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Bibliographic Details
Main Authors: Ruijin Zhu, Wenlong Liao, Yusen Wang
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484720316450