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Tetsuya Wakui
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Prediction of energy demands using neural network with model identification by global optimization
R Yokoyama, T Wakui, R Satake
Energy Conversion and Management 50 (2), 319-327, 2009
2372009
Hybrid configuration of Darrieus and Savonius rotors for stand‐alone wind turbine‐generator systems
T Wakui, Y Tanzawa, T Hashizume, T Nagao
Electrical Engineering in Japan 150 (4), 13-22, 2005
1372005
Optimization of energy supply systems by MILP branch and bound method in consideration of hierarchical relationship between design and operation
R Yokoyama, Y Shinano, S Taniguchi, M Ohkura, T Wakui
Energy conversion and management 92, 92-104, 2015
1222015
Optimal structural design of residential cogeneration systems in consideration of their operating restrictions
T Wakui, R Yokoyama
Energy 64, 719-733, 2014
892014
Suitable operational strategy for power interchange operation using multiple residential SOFC (solid oxide fuel cell) cogeneration systems
T Wakui, R Yokoyama, K Shimizu
Energy 35 (2), 740-750, 2010
822010
Performance analysis of a CO2 heat pump water heating system under a daily change in a standardized demand
R Yokoyama, T Wakui, J Kamakari, K Takemura
Energy 35 (2), 718-728, 2010
782010
Optimal structural design of residential power and heat supply devices in consideration of operational and capital recovery constraints
T Wakui, H Kawayoshi, R Yokoyama
Applied Energy 163, 118-133, 2016
672016
A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges
T Wakui, T Kinoshita, R Yokoyama
Energy 68, 29-46, 2014
642014
Stabilization of power output and platform motion of a floating offshore wind turbine-generator system using model predictive control based on previewed disturbances
T Wakui, A Nagamura, R Yokoyama
Renewable Energy 173, 105-127, 2021
612021
Optimal sizing of residential gas engine cogeneration system for power interchange operation from energy-saving viewpoint
T Wakui, R Yokoyama
Energy 36 (6), 3816-3824, 2011
532011
Development of a domestic hot water demand prediction model based on a bottom-up approach for residential energy management systems
H Aki, T Wakui, R Yokoyama
Applied Thermal Engineering 108, 697-708, 2016
512016
A revised method for robust optimal design of energy supply systems based on minimax regret criterion
R Yokoyama, K Fujiwara, M Ohkura, T Wakui
Energy conversion and management 84, 196-208, 2014
492014
Multiple-feedback control of power output and platform pitching motion for a floating offshore wind turbine-generator system
T Wakui, M Yoshimura, R Yokoyama
Energy 141, 563-578, 2017
452017
Development of an energy management system for optimal operation of fuel cell based residential energy systems
H Aki, T Wakui, R Yokoyama
international journal of hydrogen energy 41 (44), 20314-20325, 2016
442016
Energy-saving effect of a residential polymer electrolyte fuel cell cogeneration system combined with a plug-in hybrid electric vehicle
T Wakui, N Wada, R Yokoyama
Energy conversion and management 77, 40-51, 2014
442014
Feasibility study on combined use of residential SOFC cogeneration system and plug-in hybrid electric vehicle from energy-saving viewpoint
T Wakui, N Wada, R Yokoyama
Energy conversion and management 60, 170-179, 2012
412012
Optimal sizing of residential SOFC cogeneration system for power interchange operation in housing complex from energy-saving viewpoint
T Wakui, R Yokoyama
Energy 41 (1), 65-74, 2012
412012
Predictive management for energy supply networks using photovoltaics, heat pumps, and battery by two-stage stochastic programming and rule-based control
T Wakui, K Sawada, R Yokoyama, H Aki
Energy 179, 1302-1319, 2019
382019
Optimal structural design of residential cogeneration systems with battery based on improved solution method for mixed-integer linear programming
T Wakui, R Yokoyama
Energy 84, 106-120, 2015
372015
Two-stage design optimization based on artificial immune system and mixed-integer linear programming for energy supply networks
T Wakui, M Hashiguchi, K Sawada, R Yokoyama
Energy 170, 1228-1248, 2019
352019
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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