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An Inter Type-2 FCR Algorithm Based T–S Fuzzy Model for Short-Term Wind Power Interval Prediction

  • Published:2019-09 Issue:9 Volume:15 Page:4934-4943
  • ISSN:1551-3203
  • Container-title:IEEE Transactions on Industrial Informatics
  • language:
  • Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zou Wen,Li ChaoshunORCID,Chen Pengfei

Funder

National Natural Science Foundation of China

Applied Fundamental Frontier Project of Wuhan Science and Technology Bureau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

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2. A bi-level mode decomposition framework for multi-step wind power forecasting using deep neural network;Energy Conversion and Management: X;2024-07

3. Two-Stages Interval Fuzzy Model for Forecasting Wind Power in Microgrids;2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2024-06-30

4. Combining TPE-PSO and BiGRU for High-Precision Short-Term Wind Power Forecasting;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

5. Prediction and scheduling of multi-energy microgrid based on BiGRU self-attention mechanism and LQPSO;Global Energy Interconnection;2024-06
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