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2026
6
Excellent presentation paper award at the summer conference of SAREK 2026
2026/06/26
Awards and Honors
2026 SAREK Summer Conference
2026/06/24 → 2026/06/26
Conferences
2026 AIK Spring Conference
2026/05/16
Conferences
Collaborative research with Prof. Shukuya in Korea
2026/04/14 → 2026/04/18
Activity
Collaborative research with Hosei university and Tokyo city university
2026/01/15 → 2026/01/30
Activity
Seminar on refrigerant trends and heat pump systems with Prof. Moonkeun Kim
2026/01/07
Activity
2025
16
Excellent presentation paper award at the winter conference of SAREK 2025
2025/11/28
Awards and Honors
2025 SAREK winter Conference
2025/11/28
Conferences
2025 KIAEBS Autumn Conference
2025/11/14
Conferences
2025 KSGHE Autumn Conference
2025/11/03
Conferences
Excellent paper award at the autumn conference of KSGHE 2025
2025/10/30
Awards and Honors
Collaborative research with Prof. Shukuya in Korea
2025/10/22 → 2025/10/29
Activity
The 2nd Green Building Future Forum 2025
2025/09/11
Activity
Workshop on Public Green Remodeling Policies and Research
2025/09/03 → 2025/09/04
Activity
2025 COBEE Conference
2025/07/08
Conferences
Visit to Technical University of Denmark
2025/07/02
Activity
Excellent presentation paper award at the summer conference of SAREK 2025
2025/06/19
Awards and Honors
2025 SAREK Summer Conference
2025/06/18 → 2025/06/20
Conferences
Suhyun Awarded Graduate School Presidential Science Scholarship
2025/06/05
Awards and Honors
2025 AIK Spring Conference
2025/05/02
Conferences
2025 BRL Kickoff Meeting
2025/04/04
Activity
Collaborative research with Prof. Shukuya and Prof. Kayo
2025/01/08 → 2025/01/22
Activity
2024
7
2024 ASim Conference
2024/12/13
Conferences
2024 SAREK Winter Conference
2024/11/29
Conferences
Excellent presentation paper award at the autumn conference of KIAEBS 2024
2024/11/15
Awards and Honors
2024 KIAEBS Autumn Confernece
2024/11/15
Conferences
Excellent presentation paper award at the summer conference of SAREK 2024
2024/06/21
Awards and Honors
Habin Awarded Master's Student Research Grant (National Research Foundation)
2024/03/29
Awards and Honors
International collaborative research with Prof. Shukuya
2024/01/15 → 2024/02/04
Activity
2023
19
2023 SAREK Winter Conference
2023/11/27
Conferences
2023 KIAEBS Autumn Conference
2023/11/10
Conferences
Excellent presentation paper award at the autumn conference of KIAEBS 2023
2023/11/10
Awards and Honors
2023 KSES Autumn Conference
2023/11/07
Conferences
Excellent presentation paper award at the autumn conference of KSES 2023
2023/11/07
Awards and Honors
Excellent paper award at the autumn conference of KSGHE 2023
2023/10/13
Awards and Honors
2023 KSGHE Autumn Conference
2023/10/12
Conferences
A new paper titled, ‣ has been published in Energy and Buildings.
Paper link
Interpretable deep learning model for load and temperature forecasting: Depending on encoding length, models may be cheating on wrong answers
Summary
Data-driven time-series forecasting models for model predictive control of building energy systems have an autoregressive structure that accepts historical data as input. One customary practice is to encode the past 24 h of data to extract daily periodicity information when forecasting 24 h ahead. However, deep learning models have different forecasting mechanisms than traditional time-series models that decompose periodicity. This study focuses on the impact of encoding length in deep learning models used for building energy demand forecasting.
To investigate this, we developed an interpretable deep learning model using an attention mechanism and gated recurrent units. We tested three different encoding lengths: 8 hours, 24 hours, and 168 hours for 24-h-ahead forecasting of zone temperatures and loads.
Interpretable deep learning model for load and temperature forecasting: Depending on encoding length, models may be cheating on wrong answers
2023/08/11
Papers
A new paper titled ‣ has been published in Case Studies in Thermal Engineering.
Paper link
Real-time probabilistic backfill thermal property estimation method enabling estimation convergence judgment
Summary
This paper presents a novel real-time probabilistic estimation method for determining the thermal properties of backfill material used in underground power transmission lines and ground heat exchangers. The proposed method combines a fast linear analytical model, Bayesian inference, and Jensen-Shannon divergence to enable real-time sequential estimations during field experiments, quantify the estimation uncertainty, and determine the estimation convergence. The method can capture the contextual information affecting the estimation uncertainty, such as the quality of the experiment and the construction state of the backfill. Thus the application of the developed estimation method can lead to significant cost savings by avoiding unnecessary and prolonged experiments.
Real-time probabilistic backfill thermal property estimation method enabling estimation convergence judgment
2023/06/27
Papers
Excellent presentation paper award at the summer conference of SAREK 2023
2023/06/23
Awards and Honors
2023 SAREK Summer Conference
2023/06/21 → 2023/06/23
Conferences
2023 IAQVEC Conference
2023/05/20 → 2023/05/23
Conferences
IEA Annex 87 Expert Meeting
2023/05/19
Activity
IEA Annex 37 Expert meeting
2023/05/18
Activity
Excellent presentation paper award at the spring conference of AIK 2023
2023/04/28
Awards and Honors
2023 AIK Spring Conference
2023/04/26 → 2023/04/28
Conferences
A new paper titled, ‣ has been published.
Paper link
Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality
Summary
Buildings and their energy systems are characterized by unique and complex features that can evolve over time. Moreover, building data is highly seasonal, which means that it is subject to variations according to the time of the year. Therefore, an effective deep learning model with exceptional adaptability (i.e., high performance with little data) is required to accurately forecast and control the energy systems of buildings.
Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality
2023/04/06
Papers
Visiting University of Tokyo and Tokyo City University
2023/02/20 → 2023/02/24
Activity
Visiting of Korea Institute of Energy Research (KIER)
2023/02/08
Activity
2022
3
2022 KIAEBS Autumn conference
2022/11/25
Conferences
2022 KSES Autumn conference
2022/10/19
Conferences
2022 SAREK Summer conference
2022/06/22 → 2022/06/24
Conferences