Online Ensemble Approach for Probabilistic Wind Power Forecasting-Reference-Cited by-同舟云学术

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Online Ensemble Approach for Probabilistic Wind Power Forecasting

Published:2021 Issue: Volume: Page:1-1
ISSN:1949-3029
Container-title:IEEE Transactions on Sustainable Energy
language:
Short-container-title:IEEE Trans. Sustain. Energy

Author:

Von Krannichfeldt Leandro,Wang Yi,Zufferey Thierry,Hug Gabriela

Funder

The Renewable Management and Real-Time Control Platform ReMaP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/5165391/5433168/09599541.pdf?arnumber=9599541

Cited by 26 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. Can we trust explainable artificial intelligence in wind power forecasting?;Applied Energy;2024-12

2. Dynamic non-constraint ensemble model for probabilistic wind power and wind speed forecasting;Renewable and Sustainable Energy Reviews;2024-10

3. CRPS-based online learning for nonlinear probabilistic forecast combination;International Journal of Forecasting;2024-10

4. An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning;IEEE Transactions on Sustainable Energy;2024-07

5. Impact of integrated classifier — Regression mapped short term load forecasting on power system management in a grid connected multi energy systems;Electric Power Systems Research;2024-05

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