Digital Twins Fuzzy System Based on Time Series Forecasting Model LFTformer

Author:

Guo Jinkang1ORCID,Wan Zhibo1ORCID,Lv Zhihan2ORCID

Affiliation:

1. Qingdao University, Qingdao, China

2. Uppsala University, Uppsala, Sweden

Publisher

ACM

Reference23 articles.

1. A hybrid statistical method to predict wind speed and wind power

2. Data mining and wind power prediction: A literature review

3. M. Lange "Analysis of the uncertainty of wind power predictions " Universität Olden-burg 2003. M. Lange "Analysis of the uncertainty of wind power predictions " Universität Olden-burg 2003.

4. T. Zhou , Z. Ma , Q. Wen , X. Wang , L. Sun , and R. Jin , " Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting," in International Conference on Machine Learning , 2022 : PMLR , pp. 27268 -- 27286 . T. Zhou, Z. Ma, Q. Wen, X. Wang, L. Sun, and R. Jin, "Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting," in International Conference on Machine Learning, 2022: PMLR, pp. 27268--27286.

5. Interpretability constraints for fuzzy information granulation

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