Y. Akashi

发表

Bayesian Inference for Predicting an Inter-individual Variation of Thermal Sensation Votes

Jongyeon Lim, Y. Akashi, N. Yoshimoto, 2020 .

Methodology of evaluating the sewage heat utilization potential by modelling the urban sewage state prediction model

Jongyeon Lim, Y. Akashi, Wei-An Chen, 2022, Sustainable Cities and Society.

Testing the Basements Thermal Performance as an Approach to the Earth-Sheltered Buildings Application at Hot Climates, Case Study (Egypt)

Y. Akashi, D. Sumiyoshi, A. Ahmed, 2014 .

Forecasting model of activities of the city-level for management of CO2 emissions applicable to various cities.

T. Ueno, Jongyeon Lim, Y. Akashi, 2021, Journal of environmental management.

Optimization of Design and Construction Process of Heat Source System Utilizing Building Information Modeling

K. Yajima, Jongyeon Lim, Y. Akashi, 2019 .

RUNNING TEST AND PERFORMANCE EVALUATION OF A CHILLED-WATER THERMAL ENERGY STORAGE HVAC SYSTEM WITH HIGH TEMPERATURE DIFFERENTIALS

Yasunori Akashi, Toshiyuki Watanabe, Hang Yu, 2000 .

Development of a Simulator for Long-term Prediction of Urban Environmental Loads and Prediction of CO2 Emission from Residential and Office Buildings until 2050

赤司泰義, Yasunori Akashi, 山口謙太郎, 2010 .

Agent-based simulation on the effect of policies on long-term energy conservation at an area level

J. Lim, Y. Akashi, Y. Ohto, 2019, IOP Conference Series: Earth and Environmental Science.

Prediction of energy saving policies effects reflecting decision making process of office building owners and tenants

J. Lim, Y. Akashi, Y. Oto, 2019, IOP Conference Series: Earth and Environmental Science.

Design procedure for dual air handling unit of air-conditioning system

A. A. Aziz, Y. Akashi, D. Sumiyoshi, 2018 .

Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention

Y. Akashi, Yuan Gao, S. Miyata, 2022, Applied Energy.

Operational optimization for off-grid renewable building energy system using deep reinforcement learning

Y. Akashi, Y. Matsunami, Yuan Gao, 2022, Applied Energy.

Fault detection and diagnosis for heat source system using convolutional neural network with imaged faulty behavior data

Yasunori Akashi, Shohei Miyata, Jongyeon Lim, 2019, Science and Technology for the Built Environment.

Estimation of HVAC system energy consumption for office buildings

Yasunori Akashi, Chao Chen, Yuji Ryu, 1996 .

Solving Social Issues Through Industry–Academia Collaboration

E. Hato, S. Warisawa, A. Deguchi, 2020, Society 5.0.

Multi-agent reinforcement learning dealing with hybrid action spaces: A case study for off-grid oriented renewable building energy system

Y. Akashi, Y. Matsunami, Yuan Gao, 2022, Applied Energy.

A probabilistic approach to the energy-saving potential of natural ventilation: Effect of approximation method for approaching wind velocity

Yasunori Akashi, Ryozo Ooka, Hideki Kikumoto, 2017 .

Measuring the Possibility of Living in the Earth-Sheltered Building Type between Egypt and Japan

Yasunori Akashi, Takafumi Arima, Aly Ahmed, 2013 .

Installed capacity optimization of distributed energy resource systems for residential buildings

Daisuke Sumiyoshi, Yasunori Akashi, Xiangxiang Gao, 2014 .

Passive Design Strategy on Residential Buildings for Sustainable Development of Lhasa

Daisuke Sumiyoshi, Yasunori Akashi, En Li, 2013 .

Optimization of passive design measures for residential buildings in different Chinese areas

Daisuke Sumiyoshi, Yasunori Akashi, Xinzhi Gong, 2012 .

Low cost humidity controlled air-conditioning system for building energy savings in tropical climate

Daisuke Sumiyoshi, Yasunori Akashi, Azizuddin Abd Aziz, 2017 .

DEVELOPMENT OF A SIMULATOR FOR THE URBAN ENVIRONMENTAL LOAD PREDICTION USING SYSTEM DYNAMICS

Y. Akashi, M. Miyata, Toshiyuki Watanabe, 2009 .

A development of easy-to-use tool for fault detection and diagnosis in building air-conditioning systems

Yasunori Akashi, Young-hak Song, Jurng-Jae Yee, 2008 .

Hierarchical Bayesian modeling for predicting ordinal responses of personalized thermal sensation: Application to outdoor thermal sensation data

Yasunori Akashi, Doosam Song, Jongyeon Lim, 2018, Building and Environment.

Model predictive control of a building renewable energy system based on a long short-term hybrid model

Y. Akashi, Y. Matsunami, Yuan Gao, 2022, Sustainable Cities and Society.

Multi-step solar irradiation prediction based on weather forecast and generative deep learning model

Y. Akashi, Yuan Gao, S. Miyata, 2022, Renewable Energy.

Energy saving and indoor temperature control for an office building using tube-based robust model predictive control

Y. Akashi, Yuan Gao, S. Miyata, 2023, Applied Energy.

Bayesian prediction model of thermally satisfied occupants considering stochasticity due to inter- and intra-individual thermal sensation variations

R. Ooka, W. Choi, Jongyeon Lim, 2022, Journal of Building Engineering.

Spatio-temporal interpretable neural network for solar irradiation prediction using transformer

Y. Akashi, Y. Matsunami, Yuan Gao, 2023, Energy and Buildings.

Fault evaluation process in HVAC system for decision making of how to respond to system faults

Yasunori Akashi, Shohei Miyata, Jongyeon Lim, 2019, IOP Conference Series: Earth and Environmental Science.

Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo

Y. Akashi, Yuan Gao, S. Miyata, 2023, Journal of Building Engineering.

How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method

Y. Akashi, Yuan Gao, S. Miyata, 2023, Applied Energy.

Model-based Fault Detection and Diagnosis for HVAC Systems Using Convolutional Neural Network

Jongyeon Lim, Y. Akashi, S. Miyata, 2020 .

Improving training efficiency for scalable automated fault detection and diagnosis in chilled water plants by transfer learning

Y. Akashi, S. Miyata, Y. Kuwahara, 2023, Energy and Buildings.

Exploring the spatial distribution for efficient sewage heat utilization in urban areas using the urban sewage state prediction model

Jongyeon Lim, Y. Akashi, S. Miyata, 2024, Applied Energy.