Wind power forecasting based on new hybrid model with TCN residual modification

Author:

Zhu Jiaojiao,Su Liancheng,Li Yingwei

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference46 articles.

1. A review of wind speed and wind power forecasting with deep neural networks;Wang;Appl. Energy,2021

2. Short-term scheduling strategy for wind-based energy hub: a hybrid stochastic/IGDT approach;Dolatabadi;IEEE Trans. Sustain. Energy,2019

3. Very short-term spatial and temporal wind power forecasting: a deep learning approach;Hu;CSEE J. Power Energy Syst.,2020

4. One day ahead wind speed forecasting: a resampling-based approach;Wei;Appl. Energy,2016

5. Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm;Hu;Renew. Energy,2020

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