A Forecasting-Residual Spectrum Analysis Method for Distinguishing Forced and Natural Oscillations

Author:

Ghorbaniparvar Mohammadreza,Zhou NingORCID,Li Xiaohua,Trudnowski Daniel J.ORCID,Xie Ruichao

Funder

Research Foundation for The State University of New York

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Cited by 13 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. Initial Results in Distinguishing Between Forced and Natural Oscillations Using PMU Data;2024 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA);2024-05-21

2. Neural network based pattern recognition for classification of the forced and natural oscillation;Electric Power Systems Research;2023-11

3. Missing Value Replacement for PMU Data via Deep Learning Model With Magnitude Trend Decoupling;IEEE Access;2023

4. Rainfall prediction in the district of Lima Puluh Kota using a Fourier transformation approach;PROCEEDINGS OF THE SYMPOSIUM ON ADVANCE OF SUSTAINABLE ENGINEERING 2021 (SIMASE 2021): Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research;2023

5. Adoption of Fractional Differential Equations under Improved Variational Iterative Algorithm Combined with DNA Coding Algorithm in Image Encryption;Fractals;2021-09-30

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