Metaheuristic optimization methods for a comprehensive operating schedule of battery, thermal energy storage, and heat source in a building energy system S Ikeda, R Ooka
Applied energy 151, 192-205, 2015
95 2015 Optimization method for multiple heat source operation including ground source heat pump considering dynamic variation in ground temperature S Ikeda, W Choi, R Ooka
Applied Energy 193, 466-478, 2017
92 2017 A review on optimization techniques for active thermal energy storage control R Ooka, S Ikeda
Energy and Buildings 106, 225-233, 2015
65 2015 Model predictive control of building energy systems with thermal energy storage in response to occupancy variations and time-variant electricity prices D Lee, R Ooka, S Ikeda, W Choi, Y Kwak
Energy and Buildings 225, 110291, 2020
56 2020 A novel optimization method combining metaheuristics and machine learning for daily optimal operations in building energy and storage systems S Ikeda, T Nagai
Applied Energy 289, 116716, 2021
52 2021 Carrier generation in a N Kikuchi, A Samizo, S Ikeda, Y Aiura, K Mibu, K Nishio
Physical Review Materials 1 (2), 021601, 2017
40 2017 Application of differential evolution-based constrained optimization methods to district energy optimization and comparison with dynamic programming S Ikeda, R Ooka
Applied Energy 254, 113670, 2019
34 2019 Comparison of metaheuristic and linear programming models for the purpose of optimising building energy supply operation schedule B Pickering, S Ikeda, R Choudhary, R Ooka
Proceedings of the CLIMA, 2016
27 2016 Experimental analysis of artificial intelligence-based model predictive control for thermal energy storage under different cooling load conditions D Lee, R Ooka, Y Matsuda, S Ikeda, W Choi
Sustainable Cities and Society 79, 103700, 2022
26 2022 Experimental and numerical investigation of energy saving potential of centralized and decentralized pumping systems M Liu, R Ooka, W Choi, S Ikeda
Applied Energy 251, 113359, 2019
25 2019 A new optimization strategy for the operating schedule of energy systems under uncertainty of renewable energy sources and demand changes S Ikeda, R Ooka
Energy and Buildings 125, 75-85, 2016
25 2016 Artificial neural network prediction models of stratified thermal energy storage system and borehole heat exchanger for model predictive control D Lee, R Ooka, S Ikeda, W Choi
Science and Technology for the Built Environment 25 (5), 534-548, 2019
18 2019 Optimal operation of energy systems including energy storage equipment under different connections and electricity prices S Ikeda, R Ooka
Sustainable Cities and Society 21, 1-11, 2016
17 2016 Automated computational design method for energy systems in buildings using capacity and operation optimization F Iijima, S Ikeda, T Nagai
Applied Energy 306, 117973, 2022
12 2022 Development of distributed multiple‐source and multiple‐use heat pump system using renewable energy: Outline of test building and experimental evaluation of cooling and heating … M Liu, T Hino, R Ooka, K Wen, W Choi, D Lee, S Ikeda
Japan Architectural Review 4 (1), 241-252, 2021
9 2021 メタヒューリスティクスを用いたCGS及び複数蓄エネルギー設備を含む エネルギーシステムの多目的非線形最適化手法の開発 池田伸太郎， 大岡龍三
日本建築学会環境系論文集 81 (719), 101-110, 2016
6 2016 Optimal operation of energy systems including thermal energy storage and battery under different connections S Ikeda, R Ooka
Energy Procedia 78, 2256-2261, 2015
6 2015 Hybrid method of metaheuristics with machine learning for optimal operation of district energy systems, part 1 day-ahead optimization for district heating and cooling system … S Ikeda
Society of Heating, Air-Conditioning and Sanitary Engineers of Japan (SHASE …, 2017
5 2017 Anomaly detection and missing data imputation in building energy data for automated data pre-processing K Takahashi, R Ooka, S Ikeda
Journal of Physics: Conference Series 2069 (1), 012144, 2021
4 2021 Energy demand prediction with machine learning supported by auto-tuning: a case study S Ozaki, R Ooka, S Ikeda
Journal of Physics: Conference Series 2069 (1), 012143, 2021
3 2021 
Ryozo OokaInstitute of Industrial Science, The University of TokyoDirección de correo verificada de iis.u-tokyo.ac.jp