Chaos Prediction of Power Oscillation System Based on Deep Extreme Learning Machine
Author:
Affiliation:
1. Qilu Institute of Technology,Collaborative Innovation Center of Memristive Computing Application(CICCA),Jinnan,China
Funder
Research and Development
Natural Science Foundation of Shandong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055362.pdf?arnumber=10055362
Reference17 articles.
1. Collaborative control method of fourth-order chaotic power system;jiangbin;Journal of XI ’ AN JiaoTong University,2020
2. Research on nonlinear dynamic behavior and control of complex motor and power system;xiaoshu,2015
3. Short-term negative load prediction based on VMD and PSO to optimize deep belief network;zhi;Electric Network Technology,2018
4. Dynamic analysis and controlling chaos of the electrical power system with the disturbance of electromagnetic power
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