Підписатись
Shohei Miyata
Shohei Miyata
The University of Tokyo
Підтверджена електронна адреса в g.ecc.u-tokyo.ac.jp - Домашня сторінка
Назва
Посилання
Посилання
Рік
A review of data-driven fault detection and diagnostics for building HVAC systems
Z Chen, Z O’Neill, J Wen, O Pradhan, T Yang, X Lu, G Lin, S Miyata, S Lee, ...
Applied Energy 339, 121030, 2023
1412023
Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives
H Li, H Johra, F de Andrade Pereira, T Hong, J Le Dréau, A Maturo, ...
Applied Energy 343, 121217, 2023
762023
Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention
Y Gao, S Miyata, Y Akashi
Applied Energy 321, 119288, 2022
662022
Operational optimization for off-grid renewable building energy system using deep reinforcement learning
Y Gao, Y Matsunami, S Miyata, Y Akashi
Applied Energy 325, 119783, 2022
592022
Fault detection and diagnosis for heat source system using convolutional neural network with imaged faulty behavior data
S Miyata, J Lim, Y Akashi, Y Kuwahara, K Tanaka
Science and Technology for the Built Environment 26 (1), 52-60, 2020
452020
Multi-step solar irradiation prediction based on weather forecast and generative deep learning model
Y Gao, S Miyata, Y Akashi
Renewable Energy 188, 637-650, 2022
392022
How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method
Y Gao, S Miyata, Y Akashi
Applied Energy 348, 121591, 2023
322023
Energy saving and indoor temperature control for an office building using tube-based robust model predictive control
Y Gao, S Miyata, Y Akashi
Applied Energy 341, 121106, 2023
292023
Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system
Y Gao, Y Matsunami, S Miyata, Y Akashi
Applied Energy 326, 120021, 2022
272022
Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system
Y Gao, S Shi, S Miyata, Y Akashi
Energy 291, 130344, 2024
262024
Methodology of evaluating the sewage heat utilization potential by modelling the urban sewage state prediction model
WA Chen, J Lim, S Miyata, Y Akashi
Sustainable Cities and Society 80, 103751, 2022
262022
Model predictive control of a building renewable energy system based on a long short-term hybrid model
Y Gao, Y Matsunami, S Miyata, Y Akashi
Sustainable Cities and Society 89, 104317, 2023
252023
Spatio-temporal interpretable neural network for solar irradiation prediction using transformer
Y Gao, S Miyata, Y Matsunami, Y Akashi
Energy and Buildings 297, 113461, 2023
162023
Model-based fault detection and diagnosis for HVAC systems using convolutional neural network
S Miyata, Y Akashi, J Lim, Y Kuwahara, K Tanaka
Building Simulation 2019 16, 853-860, 2019
122019
Improving training efficiency for scalable automated fault detection and diagnosis in chilled water plants by transfer learning
S Miyata, Y Kuwahara, S Tsunemoto, K Tanaka, Y Akashi
Energy and Buildings 285, 112877, 2023
112023
Automated fault detection and diagnosis of chiller water plants based on convolutional neural network and knowledge distillation
Y Gao, S Miyata, Y Akashi
Building and Environment 245, 110885, 2023
92023
Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo
Y Gao, S Miyata, Y Akashi
Journal of Building Engineering 79, 107814, 2023
72023
動的 CO2 排出係数に基づいたモデル予測制御による熱源機器の低炭素制御
宮田翔平， 桑原康浩， 林鍾衍， 赤司泰義， 吉本尚起
日本建築学会環境系論文集 85 (777), 827-835, 2020
72020
Model-based fault detection and diagnosis using convolutional neural networks in heat source system with water thermal storage tanks
S Miyata, Y Akashi, J Lim, K Tanaka, S Tanaka, Y Kuwahara
IOP Conference Series: Earth and Environmental Science 238 (1), 012070, 2019
72019
Exploring the spatial distribution for efficient sewage heat utilization in urban areas using the urban sewage state prediction model
WA Chen, J Lim, S Miyata, Y Akashi
Applied Energy 360, 122776, 2024
62024
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