Stochastic Characterization of Voltage Sag Occurrence Based on Field Data
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/61/8672796/08516317.pdf?arnumber=8516317
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. Measured Rare Voltage Sags and Clusters of Sags: Prediction Models Driven by the Intermittence Indices;IEEE Open Access Journal of Power and Energy;2024
2. Prediction models of voltage sag characteristics based on measured data;International Journal of Electrical Power & Energy Systems;2024-01
3. Predicting the Number of Voltage Sags Using the SARFI Index Considering System Uncertainties;2023 13th Smart Grid Conference (SGC);2023-12-05
4. A fast and accurate sampler built on Bayesian inference and optimized Hamiltonian Monte Carlo for voltage sag assessment in power systems;International Journal of Electrical Power & Energy Systems;2023-11
5. A Rough Set Based Similarity Analysis Method for Power Quality;2023 3rd International Conference on Intelligent Power and Systems (ICIPS);2023-10-20
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