Optimization of Wind Power and Its Variability With a Computational Intelligence Approach
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/6683079/06626554.pdf?arnumber=6626554
Cited by 19 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. Generative Wind Power Curve Modeling via Machine Vision: A Deep Convolutional Network Method With Data-Synthesis-Informed-Training;IEEE Transactions on Power Systems;2023-03
2. Long-Term Voltage Stability-Constrained Coordinated Scheduling for Gas and Power Grids With Uncertain Wind Power;IEEE Transactions on Sustainable Energy;2022-01
3. Wind turbine power curve modeling for reliable power prediction using monotonic regression;Renewable Energy;2020-03
4. Wind Turbine Fault Diagnosis and Predictive Maintenance Through Statistical Process Control and Machine Learning;IEEE Access;2020
5. Overview of computational intelligence for building energy system design;Renewable and Sustainable Energy Reviews;2019-07
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