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AI technologies and their applications in small-scale electric power systemsShahid, Arqum; Plaum, Freddy; Korõtko, Tarmo; Rosin, ArgoIEEE Access2024 / p. 109984-110001 https://doi.org/10.1109/ACCESS.2024.3440067

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Exploratory data analysis for demand-side flexibility quantificationShahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo; Maask, Vahur; Martins, João F.2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 6 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227408

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Harnessing appliance flexibility : a user-centric approach for energy managementShahid, Arqum22nd International Symposium “Topical Problems in the Field of Electrical and Power Engineering”. Doctoral School of Energy and Geotechnology III : Pärnu, Estonia, August 23-26, 20232023 / p. 95-96 : ill https://www.ester.ee/record=b5570906*est

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Leveraging the machine learning techniques for demand-side flexibility - a comprehensive reviewShahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo; Blinov, Andrei; Korõtko, Tarmo; Vinnikov, DmitriElectric power systems research2025 / art. 111185 https://doi.org/10.1016/j.epsr.2024.111185

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