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Efficient creation of datasets for data-driven power system applications

  • Published:2021-01 Issue: Volume:190 Page:106614
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Venzke AndreasORCID,Molzahn Daniel K.,Chatzivasileiadis Spyros

Funder

Innovation Fund Denmark

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference28 articles.

1. Automatic Learning Techniques in Power Systems;Wehenkel,2012

2. Fast power system security analysis with guided dropout;Donnot;Eur. Symp. Artifi. Neural Netw. Comput. Intell. Mach. Learn. (ESANN),2018

3. Data-driven power system operation: exploring the balance between cost and risk;Cremer;IEEE Trans. Power Syst.,2019

4. Data-driven security-constrained AC-OPF for operations and markets;Halilbašić,2018

5. Deep learning for power system security assessment;Arteaga,2019

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