Day-Ahead Wind Power Forecasting Considering Value-Oriented Evaluation Metrics-Reference-Cited by-同舟云学术

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Day-Ahead Wind Power Forecasting Considering Value-Oriented Evaluation Metrics

Published:2023-12-15 Issue: Volume: Page:3528-3533
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Chen Yanhui¹,Ye Changqing²,Wan Can³,Fu Xuehui²,Hou Mengling²,Wu Wenqian²,Wu Yayang²,Li Yunyi³

Affiliation:

1. Polytechnic Institute, National Elite Institute of Engineering, Zhejiang University, Chinese National Petroleum Corp,Hangzhou,China

2. Guangxi Electrical Power Co. Ltd, State Power Investment Corporation,Nanning,China

3. College of Electrical Engineering, Zhengjiang University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512633.pdf?arnumber=10512633

Reference16 articles.

1. A High-Accuracy Wind Power Forecasting Model

2. Wind power forecasting – A data-driven method along with gated recurrent neural network

3. A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

4. Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting

5. Wind Power Short-Term Forecasting Model Based on the Hierarchical Output Power and Poisson Re-Sampling Random Forest Algorithm

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