Ultra-short-term Wind Power Subsection Forecasting Method Based on Extreme Weather-Reference-Cited by-同舟云学术

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Ultra-short-term Wind Power Subsection Forecasting Method Based on Extreme Weather

Published:2022 Issue: Volume: Page:1-12
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Yu Guang Zheng¹,Lu Liu¹,Tang Bo¹,Wang Si Yuan²,Chen Ru Si³,Chung C. Y.⁴

Affiliation:

1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China

2. State Grid Shaanxi Electric Power Company, Xi'an, Shaanxi, China

3. Electric Power Research Institute of State Grid Hubei Electric Power Co., LTD, Wuhan, Hubei, China

4. Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/4374138/09980413.pdf?arnumber=9980413

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1. Short-Term Wind Power Prediction Based on a Variational Mode Decomposition–BiTCN–Psformer Hybrid Model;Energies;2024-08-17

2. Low-carbon economic dispatching strategy based on feasible region of cooperative interaction between wind-storage system and carbon capture power plant;Renewable Energy;2024-07

3. A hybrid neural network based on KF-SA-Transformer for SOC prediction of lithium-ion battery energy storage systems;Frontiers in Energy Research;2024-06-21

4. Forecasting and Early Warning of Wind‐Farm‐Tripping Event under Strong‐Wind and Cold‐Wave Conditions Based on Combined Nonparametric Estimation Model and K‐Value Method;Energy Technology;2024-05-24

5. A Method for Wind Power Generation Interval Prediction in Cold Wave Conditions Based on Generative Adversarial Networks and Convolutional Neural Networks;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17

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