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29101

journal article

Ford-autode erinäitus [Tallinnas]Auto1938 / lk. 81 : fot

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29102

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"Fordi" hinnad ja Fordi palgadAuto-Sport ja Turism1933 / lk. 53-54

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29103

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Fordi uusim mudel - tilgakujuline autoAuto1937 / lk. 17

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29104

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[Fordi vabrikute koostöölepe ja turu jagamine Inglismaal ja Kanadas]Tehnika Ajakiri ja Auto1932 / lk. 164

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29105

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"Ford"-lennumootor : kohane autole, lennukile ja mootor-saanileTehnika Ajakiri ja Auto1932 / lk. 64-65

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29106

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Fordson traktori kolvi sõrme kinnitusestKuresoo, J.Tehnika Põllumajanduses1939 / lk. 119 : joon

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29107

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Fordson traktori käimapanemisestTehnika Põllumajanduses1929 / lk. 103-104

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29108

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Fordson-traktori elektervalgustusseadisestKuresoo, J.Tehnika Põllumajanduses1938 / lk. 111-113, 115 : joon

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29109

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"Fordson"-traktori pidurdamineVormansik, N.Tehnika Põllumajanduses1929 / lk. 92-93 : joon

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29110

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Forecast of Estonian oil shale usage for power generationTammeoja, Tauno; Reinsalu, EnnoOil shale2008 / 2S, p. 115-124 : ill https://www.researchgate.net/publication/228491300_Forecast_of_Estonian_oil_shale_usage_for_power_generation

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29111

book article

Forecast-Driven and Scenario-Based Building Energy Management Using a Stochastic Optimization ApproachNourollahi Hokmabad, Hossein; Hemmati Shahsavar, Tala; Vergara, Pedro P.; Husev, Oleksandr; Belikov, Juri2025 IEEE 19th International Conference on Control & Automation (ICCA)2025 / p. 885-891 : ill https://doi.org//10.1109/ICCA65672.2025.11129822

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Energy management system for single-cell three-phase energy router in residential applications = Energiahaldussüsteem üheelemendilisele kolmefaasilisele energiaruuterile elamutes

29112

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Forecasting a training needRajangu, VäinoТворчiсть врятуэ свiт : матерiали 7-i Мiжнародноi науково-практичноi конференцii : 22-23 травня 2003 р. м. Киiв2003 / p. 508-510

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29113

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Forecasting a training need in EstoniaRajangu, VäinoHaridus ja majandus 2003 : rahvusvahelise teaduskonverentsi materjalid2003 / p. 70-72

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29114

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Forecasting annual electric power consumption using a random parameters model with heterogeneity in means and variancesHamed, Mohammad M.; Ali, Hesham; Abdelal, QasemEnergy2022 / art. 124510 https://doi.org/10.1016/j.energy.2022.124510

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29115

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Forecasting available demand-side flexibilityAhmadiahangar, Roya; Rosin, Argo; Palu, Ivo; Azizi, AydinDemand-side flexibility in smart grid2020 / p. 39-49 https://doi.org/10.1007/978-981-15-4627-3_4 Journal metrics at Scopus Article at Scopus

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29116

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Forecasting Corona Losses on High Voltage Transmission Lines Using Machine LearningGupta, Pradeep Kumar; Tuttelberg, Kaur; Kilter, JakoIEEE transactions on power delivery2025 / p. 2696-2705 https://doi.org/10.1109/TPWRD.2025.3593923

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29117

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Forecasting demand-side flexibility of a household with dynamic consumer behavior analysisShahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, TarmoIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2024) : proceedings2024 / 5 p https://doi.org/10.1109/ISGTEUROPE62998.2024.10863005 Article at Scopus Article at WOS

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29118

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Forecasting maritime logistics costs - will the low oil price remain?Hämäläinen, Esa; Hilmola, Olli-Pekka Kristian; Tolli, Andres; Prause, Gunnar KlausLe transport maritime a courte distance : Mythe ou avenir du transport regional = Short-sea shipping : myth or future of regional transport2016 / p. 19-34

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29119

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Forecasting models for non-performing loans in the EU countriesStaehr, Karsten; Uusküla, Lenno2017 http://www.ester.ee/record=b4731354*est

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29120

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Forecasting of absolute dynamic topography by utilizing machinelearning with synergy of satellite altimetry dataDelpeche-Ellmann, Nicole Camille; Rajabi-Kiasari, Saeed; Ellmann, Artu13th Coastal Altimetry Workshop & Coastal Altimetry Training, 6-10 February 2023, Universidad de Cádiz, Spain : abstract2023 / p. 42 https://www.coastalaltimetry.org/NikalWebsitePortal/coastal-altimetry-workshop/esa/ExtraContent/ContentSubPage?page=8&subPage=3

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29121

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Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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29122

journal article EST / journal article ENG

Forecasting of energy consumption and production using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Iqbal, Muhammad Naveed; Shams Ghahfarokhi, PayamAdvances in electrical and electronic engineering2020 / p. 190−197 https://doi.org/10.15598/aeee.v18i3.3597 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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29123

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Forecasting of Sea Level Extremes using Deep Learning and Extreme Value AnalysisDelpeche-Ellmann, Nicole Camille; Rajabi-Kiasari, Saeed; Soomere, Tarmo; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-13350 https://meetingorganizer.copernicus.org/EGU25/EGU25-13350.html https://doi.org/10.5194/egusphere-egu25-13350

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29124

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Forecasting of the development of banking : the Estonian case [Electronic resource]Aarma, August; Vainu, JaanBusiness Strategies and Technological Innovations for Sustainable Development : Creating Global Prosperity for Humanity2009 / p. 7-13 : ill. [CD-ROM]

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29125

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Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniquesEllahi, Manzoor; Usman, Muhammad Rehan; Arif, Waqas; Usman, Hafiz Fuad; Khan, Waheed A.; Satrya, Gandeva Bayu; Daniel, Kamran; Shabbir, NomanElectronics2022 / art. 4193 https://doi.org/10.3390/electronics11244193 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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