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Semen Uimonen
Semen Uimonen
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Title
Cited by
Cited by
Year
Machine learning based integrated feature selection approach for improved electricity demand forecasting in decentralized energy systems
AT Eseye, M Lehtonen, T Tukia, S Uimonen, RJ Millar
IEEE Access 7, 91463-91475, 2019
572019
Optimal energy trading for renewable energy integrated building microgrids containing electric vehicles and energy storage batteries
AT Eseye, M Lehtonen, T Tukia, S Uimonen, RJ Millar
IEEE Access 7, 106092-106101, 2019
432019
Explicit method to predict annual elevator energy consumption in recurring passenger traffic conditions
T Tukia, S Uimonen, ML Siikonen, H Hakala, C Donghi, M Lehtonen
Journal of Building Engineering 8, 179-188, 2016
242016
Adaptive predictor subset selection strategy for enhanced forecasting of distributed PV power generation
AT Eseye, M Lehtonen, T Tukia, S Uimonen, RJ Millar
IEEE Access 7, 90652-90665, 2019
202019
Energy consumption of escalators in low traffic environment
S Uimonen, T Tukia, ML Siikonen, D Lange, C Donghi, XL Cai, H Nousu, ...
Energy and Buildings 125, 287-297, 2016
192016
High-resolution modeling of elevator power consumption
T Tukia, S Uimonen, ML Siikonen, C Donghi, M Lehtonen
Journal of Building Engineering 18, 210-219, 2018
172018
Simulation of electric vehicle charging stations load profiles in office buildings based on occupancy data
S Uimonen, M Lehtonen
Energies 13 (21), 5700, 2020
152020
Modeling the aggregated power consumption of elevators–the New York city case study
T Tukia, S Uimonen, ML Siikonen, C Donghi, M Lehtonen
Applied Energy 251, 113356, 2019
92019
Impact of daily passenger traffic on energy consumption of intermittent-operating escalators
S Uimonen, T Tukia, ML Siikonen, M Lehtonen
Energy and Buildings 140, 348-358, 2017
92017
Evaluating and improving the energy efficiency of counterbalanced elevators based on passenger traffic
T Tukia, S Uimonen, M Lehtonen, ML Siikonen, C Donghi
2016 IEEE 16th International Conference on Environment and Electrical …, 2016
72016
Short-term forecasting of electricity consumption in buildings for efficient and optimal distributed energy management
AT Eseye, M Lehtonen, T Tukia, S Uimonen, RJ Millar
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
62019
Modelling the daily energy consumption of escalators with various passenger volumes
S Uimonen, T Tukia, M Lehtonen, ML Siikonen
2016 IEEE 16th International Conference on Environment and Electrical …, 2016
52016
Practices to improve the annual elevator energy consumption estimates and measurements
T Tukia, S Uimonen, ML Siikonen, H Hakala, C Donghi, M Lehtonen
International Review on Modelling and Simulations 9 (3), 134-143, 2016
52016
Energy consumption of escalators
S Uimonen
52015
A machine learning approach to modelling escalator demand response
S Uimonen, T Tukia, J Ekström, ML Siikonen, M Lehtonen
Engineering Applications of Artificial Intelligence 90, 103521, 2020
42020
Predicting the annual escalator energy consumption based on short-term measurements
S Uimonen, T Tukia, ML Siikonen, M Lehtonen
Journal of Building Engineering 13, 319-325, 2017
42017
A study for improving the energy efficiency of lifts with adjustable counterweighting
T Tukia, S Uimonen, ML Siikonen, H Hakala, M Lehtonen
Building Services Engineering Research and Technology 38 (4), 421-435, 2017
42017
Exploiting Flexibility of Renewable Energy Integrated Buildings for Optimal Day-ahead and Real-time Power Bidding Considering Batteries and EVs as Demand Response Resources
AT Eseye, M Lehtonen, T Tukia, S Uimonen, RJ Millar
2019 16th International Conference on the European Energy Market (EEM), 1-6, 2019
32019
Evaluating the applicability of elevators in frequency containment reserves
T Tukia, S Uimonen, M Lehtonen
2018 15th International Conference on the European Energy Market (EEM), 1-5, 2018
32018
Potential of aggregated escalator loads in demand response
S Uimonen, T Tukia, ML Siikonen, M Lehtonen
Electric Power Systems Research 175, 105917, 2019
22019
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