DNN-Based Active Constraints Screening to Preprocess SCUC Problem
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01781-9.pdf
Reference28 articles.
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2. Yang Y, Wu L (2020) Machine learning approaches to the unit commitment problem: current trends, emerging challenges, and new strategies. Electr J. https://doi.org/10.1016/TEJ.2020.106889
3. Tejada-Arango DA, Sánchez-Martın P, Ramos A (2018) Security constrained unit commitment using line outage distribution factors. IEEE Trans on Power Syst 33(1):329–337. https://doi.org/10.1109/TPWRS.2017.2686701
4. Yang N et al (2022) A Comprehensive review of security-constrained unit commitment. J Modern Power Syst Clean Energy 10(3):562–576. https://doi.org/10.35833/MPCE.2021.000255
5. Gudadappanavar SS, Mahapatra S (2022) Metaheuristic nature-based algorithm for optimal reactive power planning. Int J Syst Assur Eng Manag 13:1453–1466. https://doi.org/10.1007/s13198-021-01489-x
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