Targa linna uurimisrühm
Uurimisrühma juht
Uurimisrühma liige
Ojala, Marko Petteri
Kaasatud liikmed: 40 TalTechi ja Aalto Ülikooli teadlast H2020 teaming projekti kaudu, kes järgivad ühiselt kokkulepitud targa linna tippkeskuse poolt juhitud teadusarenduskava ja publitseerivad ka Targa linna tippkeskuse alt alates 1.12.2020
Võtmesõna
transport
energia
ehitatud keskkond
valitsemine ja andmed
Ülevaade
Uurimisrühm on üks juhtivaid targa linna lahenduste uurimiskeskusi Euroopas. Rühma teadusuuringud keskenduvad järgmistele uurimisteemadele: • Targa linna alased väljakutsed kohalikes omavalitsustes viies valdkonnas (transport, energia, ehitatud keskkond, valitsemine ja andmed) • Teaduspõhiste piiriüleste uute tehnoloogiate katsetamine kohalikes omavalitsustes • Targa linna arendus ning sellega seotud visioonid ja strateegiad. Rühma rakenduslik arendustegevus aitab testida päriselu tingimustes erinevaid teaduspõhiseid lahendusi elukeskkonna inimkesksemaks, jätkusuutlikumaks ja konkurentsivõimelisemaks muutmisel. Uurimisrühma tegevus aitab analüüsida ja hinnata seniseid targa linna alaseid tegevusi linnalistes keskkondades, mõista paremini targa linna arendamisega seotud riske ja kasutegureid, selgitada välja paremaid praktikaid läbi ulatuslike agiilsete demoprojektide ning levitada nii Eesti siseselt kui ka väljaspool parimaid lahendusi. Rühm panustab väga tugevalt Aalto Ülikooli ja Tallinna Tehnikaülikooli teaduskoostööle, samuti kaasab aktiivselt linnasid üle Euroopa. Uurimisrühma peamine tegevus toimub H2020 teaming FinEst Twins grandi (käsitleb Targa Linna Tippkeskuse loomist) ja struktuurfondide grandi „Targa linna tippkeskus“ raames. Viimane tegeleb teaduspõhiste targa linna pilootide elluviimisega Eesti linnades ja kohalikes omavalitsustes. Lisaks neile on tippkeskus kaasatud veel kaheksasse rahvusvahelisse projekti (NetZeroCities, CityScape, IRIS, TREASoURcE, EDIAQI, Urban Learning Centres, UrbanLIFEcircles, CityAM), mille kohta täpsem info on toodud https://www.finestcentre.eu/grants.
Tähtsamad tulemused
2023. aastal viidi läbi kuus suurt targa linna pilooti koos linnade ja ettevõttetega ning valmistati ette järgmisi piloote.
Seotud projektid
Seotud struktuuriüksus
Targa linna tippkeskus
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https://doi.org/10.3390/en15020437 - Iqbal, M.N., Kütt, L., Asad, B., Shabbir, N., Rasheed, I. Time-dependent variations in current harmonic emission by LED lamps in the low-voltage network // Electrical Engineering (2021) vol. 103, 3, p. 1525-1539 : ill.
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https://doi.org/10.1007/978-3-030-22070-9_10 - Shabbir, N., Kütt, L., Jawad, M., Husev, O. et al. Short-term wind energy forecasting using deep learning-based predictive analytics // CMC-Computers, Materials & Continua (2022) vol. 72, 1, p. 1017-1033.
https://doi.org/10.32604/cmc.2022.024576 - Agriesti, S., Roncoli, C., Nahmias-Biran, B.-H. Assignment of a synthetic population for activity-based modeling employing publicly available data // ISPRS International Journal of Geo-Information (2022) Vol. 11, Issue 2, Art. 148.
https://doi.org/10.3390/ijgi11020148 - Shabbir, N., Kütt, L., Astapov, V., Jawad, M., Allik, A., Husev, O. Battery size optimization with customer PV installations and domestic load profile // IEEE Access (2022) Vol. 10, p. 13012-13025 : ill.
https://doi.org/10.1109/ACCESS.2022.3147977 - Hiltunen, P., Volkova, A., Latõšov, E., Lepiksaar, K., Syri, S. Transition towards university campus carbon neutrality by connecting to city district heating network // Energy reports (2022) vol. 8, p. 9493-9505.
https://doi.org/10.1016/j.egyr.2022.07.055 - Moor, H. Eggers, J., Fabritius, H., Forsell, N., Henckel, L., Bradter, U., Mazziotta, A., Norden, J:, Snäll, T. Rebuilding green infrastructure in boreal production forest given future global wood demand // Journal of applied ecology (2022) vol. 59, 6, p. 1659-1669.
https://doi.org/10.1111/1365-2664.14175 - Vinnal, T., Puusepp, H., Shabbir, N., Kütt, L., Iqbal, M.N. Case study of non-linear PV inverter devices attached to the LV distribution network // Agronomy research (2020) vol. 18, 4, p. 2639−2652 : ill.
https://doi.org/10.15159/AR.20.233 https://dspace.emu.ee/xmlui/handle/10492/5955 - Shabbir, N., Kütt, L., Daniel, K., Astapov, V., Raja, H. A., Iqbal, M. N., Husev, O. Feasibility investigation for residential battery sizing considering EV charging demand // Sustainability (2022) vol. 14, 3, art. 1079.
https://doi.org/10.3390/su14031079 - Astrov, I., Udal, A., Roasto, I., Mõlder, H. Target tracking by neural predictive control of autonomous surface vessel for environment monitoring and cargo transportation applications // 2020 17th Biennial Baltic electronics conference, Tallinn, Estonia, October 6-8, 2020 : proceedings. Danvers : IEEE, 2020. 4 p.
https://doi.org/10.1109/BEC49624.2020.9277115 - Caltagirone, L., Bellone, M., Svensson, L., Wahde, M., Sell, R. Lidar-camera semi-supervised learning for semantic segmentation // Sensors (2021) vol. 21, 14, art. 4813.
https://doi.org/10.3390/s21144813 - Sarv, L., Kibus, K., Soe, R.-M. Smart city collaboration model : A case study of university-city collaboration // Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance : ICEGOV 2020, 23-25 September, 2020 : Online Conference. Danvers : ACM, 2020. p. 674−677.
https://doi.org/10.1145/3428502.3428601 - Malayjerdi, E., Sell, R., Malayjerdi, M., Udal, A., Bellone, M. Practical path planning techniques in overtaking for autonomous shuttles // Journal of field robotics (2022) Vol. 39, 4, p. 410-425.
https://doi.org/10.1002/rob.22057 - Shabbir, N., Kütt, L., Jawad, M., Iqbal, M.N., Ghahfaroki, P.S. Forecasting of energy consumption and production using recurrent neural networks // Advances in electrical and electronic engineering (2020) vol. 18, 3, p. 190−197.
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https://doi.org/10.1109/RTUCON53541.2021.9711741 - Iqbal, M.N., Kütt, L., Shabbir, N., Asad, B. Comparison of current harmonic emission by different lighting technologies // 2020 IEEE 61st International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, Nov. 5-7, 2020 : conference proceedings. Danvers : IEEE, 2020. 6 p.
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https://doi.org/10.3390/en14072001 - Iqbal, M. N., Kütt, L., Daniel, K., Jarkovoi, M., Bilal, A., Shabbir, N. Bivariate stochastic model of current harmonic analysis in the low voltage distribution grid // Proceedings of the Estonian Academy of Sciences (2021) vol. 70, 2, p. 190–206 : ill.
https://doi.org/10.3176/proc.2021.2.08 - Kuivjõgi, H., Uutar, A., Kuusk, K., Thalfeldt, M., Kurnitski, J. Market based renovation solutions in non-residential buildings - Why commercial buildings are not renovated to NZEB // Energy and buildings (2021) vol. 248, art. 111169, 13 p. : ill.
https://doi.org/10.1016/j.enbuild.2021.111169 - Iqbal, M.N., Kütt, L., Asad, B., Shabbir, N. Impact of cable impedance on the harmonic emission of LED lamps // 2020 21st International Scientific Conference on Electric Power Engineering (EPE), October 19-21, 2020, Prague, Czech Republic. Prague : Czech Technical University in Prague, 2020. 5 p.
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https://doi.org/10.1007/978-3-030-76063-2_36 - Ju, Y., Lindholm, J., Verbeck, M., Jokisalo, J., Kosonen, R., Janãà  Enc, P., Li, Y., Schäfers, H., Nord, N. Simulation of demand response on buildings and district heating production // E3S Web of Conferences : BuildSim Nordic 2022. Les Ulis, France : EDP Sciences, 2022. art. 13002. (E3S Web Conference ; 362).
https://doi.org/10.1051/e3sconf/202236213002 - Soe, R.-M. Challenging diffusion of digital receipts // 2021 Eighth International Conference on eDemocracy and eGovernment (ICEDEG) : Quito, Ecuador, 28-30 July 2021. Danvers : IEEE, 2021. p. 110−117.
https://doi.org/10.1109/ICEDEG52154.2021.9530887 - Farahani, A. V., Jokisalo, J., Korhonen, N., Kosonen, R. Indoor temperature conditions and energy demand of a Finnish detached house in a changing climate // E3S Web Conference: Cold Climate HVAC and Energy 2021. : EDP Sciences, 2021. art. 15001, 7 p. : ill. (E3S Web of Conferences ; 246).
https://doi.org/10.1051/e3sconf/202124615001 - Sarv, L., Soe, R.-M. Piloting smart city solutions in very small, small and medium-sized municipalities. The Estonian case study // ICEGOV '22 : Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance. New York : ACM, 2022. p. 475-482.
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https://doi.org/10.3390/su10093118 - Soe, R.-M., Drechsler, W. Agile local governments : experimentation before implementation // Government information quarterly (2018) 35, 2, p. 1-13 : ill.
https://doi.org/10.1016/j.giq.2017.11.010 - Shabbir, N., Ahmadiahangar, R., Kütt, L., Rosin, A. Comparison of machine learning based methods for residential load forecasting // 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings. [S.l.] : IEEE, 2019. 4 p. : ill.
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