Stochastic Model for Generation of High-Resolution Irradiance Data and Estimation of Power Output of Photovoltaic Plants
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/8320232/08089418.pdf?arnumber=8089418
Cited by 20 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. Increasing the resolution of solar and wind time series for energy system modeling: A review;Renewable and Sustainable Energy Reviews;2024-01
2. Risk-Aware Operating Regions for PV-Rich Distribution Networks Considering Irradiance Variability;IEEE Transactions on Sustainable Energy;2023-10
3. Development of PV hosting-capacity prediction method based on Markov Chain for high PV penetration with utility-scale battery storage on low-voltage grid;International Journal of Sustainable Energy;2023-09-27
4. High-Resolution Synthetic Solar Irradiance Sequence Generation: An LSTM-Based Generative Adversarial Network;2023 IEEE Power & Energy Society General Meeting (PESGM);2023-07-16
5. Short-term photovoltaic power prediction with similar-day integrated by BP-AdaBoost based on the Grey-Markov model;Electric Power Systems Research;2023-02
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