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A review of machine learning for new generation smart dispatch in power systems

  • Published:2020-02 Issue: Volume:88 Page:103372
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yin Linfei,Gao Qi,Zhao Lulin,Zhang Bin,Wang Tao,Li Shengyuan,Liu Hui

Funder

National Natural Science Foundation of China

Natural Science Foundation for Distinguished Young Scholars of Guangxi, China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference176 articles.

1. A review of optimal power flow studies applied to smart grids and microgrids;Abdi;Renew. Sustain. Energy Rev.,2017

2. Ensemble adaptive neuro fuzzy support vector machine for prediction of transient stability;Arefi,2017

3. Semidefinite relaxation of optimal power flow for AC–DC grids;Bahrami;IEEE Trans. Power Syst.,2017

4. Optimal dispatch strategy of a virtual power plant containing battery switch stations in a unified electricity market;Bai;Energies,2015

5. Optimal power flow by enhanced genetic algorithm;Bakirtzis;IEEE Trans. Power Syst.,2002

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