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Wind energy forecasting using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Ahmadiahangar, Roya; Iqbal, Muhammad Naveed; Rosin, Argo2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)2019 / 5 p. : ill https://doi.org/10.1109/BdKCSE48644.2019.9010593

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277

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Wind park cost efficiency increase through direct cooperation with demand side response provider [Online resource]Melsas, Raivo; Rosin, Argo; Drovtar, Imre2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) : October 13, 14, 2016 : conference proceedings2016 / [5] p. : ill https://doi.org/10.1109/RTUCON.2016.7763119

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278

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Virtual energy storage model of ventilation system for flexibility serviceMaask, Vahur; Rosin, Argo; Korõtko, Tarmo2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 6 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227482

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Seotud publikatsioonid 1

279

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Voltage and reactive power control in islanded microgrids without communication linkArmstorfer, Andreas; Biechl, Helmuth; Rosin, Argo2020 17th Biennial Baltic electronics conference, Tallinn, Estonia, October 6-8, 2020 : proceedings2020 / 6 p. : ill https://doi.org/10.1109/BEC49624.2020.9277253

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Seotud publikatsioonid 1

280

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Ülikool on sild teaduse ja tööstuse vahelRosin, ArgoÄripäev2018 / lk. 12 Ülikool on sild teaduse ja tööstuse vahel

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282

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XgBoost based short-term electrical load forecasting considering trends & periodicity in historical dataShabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Jawad, Muhammad; Kilter, Jako; Martins, Joao2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)2023 / 6 p https://doi.org/10.1109/ETFG55873.2023.10407926

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283

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artikkel ajakirjas

284

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