Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification

Author:

Li JiangORCID,Song TianyuORCID,Liu BoORCID,Ma HaotianORCID,Chen JikaiORCID,Cheng YujianORCID

Funder

National Nature Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Long-term Clustered Unit Commitment Considering Lack-of-Inertia and Lack-of-Flexiramp Requirements;2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I&CPS);2024-05-19

2. A New Combination Model for Offshore Wind Power Prediction Considering the Number of Climbing Features;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. Multi-Dimensional Wind Power Low-Power Event Identification Based On Variational Mode Decomposition;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

4. Meteorological Data-Driven Traffic Flow Forecasting Using Intelligent Algorithms;2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA);2023-11-06

5. An Enhanced Performance Evaluation Metrics for Wind Power Ramp Event Forecasting;IEEE Access;2023

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