Conference proceedings talk, 16th International Conference on Applied Energy (ICAE2024), Niigata, Japan
Pilot Study on a Low-Energy Wearable Air-Conditioner Based on A Novel Water-Electricity Hybrid Energy System.
Talk, 43th Conference on Japan Society of Energy and Resources (JSER), Tokyo, Japan
Using Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) for day-ahead electricity price forecasting and insights for the prediction interval (PI) estimation.
Conference proceedings talk, 20th International Conference on the European Energy Market (EEM24), Istanbul, Turkey
Day-ahead electricity price forecasting using Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM).
Talk, 令和6年電気学会全国大会 (IEEJ2024), Tokushima, Japan
Preliminary work focused on day-ahead electricity spot price forecasting using Long Short-Term Memory (LSTM).
Talk, 8th Applied Energy Symposium: Low carbon cities and urban energy systems (CUE2022), Matsue, Japan
Preliminary work focused on day-ahead electricity spot price forecasting using Long Short-Term Memory (LSTM).
Talk, 41th Conference on Japan Society of Energy and Resources (JSER), Tokyo, Japan
Preliminary research focused on the realization of low-energy wearable coolers. More information here
Conference proceedings talk, International Conference on Applied Energy 2021 (ICAE2021), Bangkok, Thailand
Preliminary work explored both intrusive and non-intrusive method for Relative Thermal Sensation (RTS) assessment.
Talk, IEEE 2019 Power and Energy Conference at Illinois (IEEE PECI 2019) (Poster), Urbana IL, USA
Preliminary work involved using the heart rate variability (HRV) index, specifically the LF/HF value, for real-time thermal comfort assessment. More information here
Conference proceedings talk, 35th Conference on Japan Society of Energy and Resources (JSER), Tokyo, Japan
Preliminary work involved using the heart rate variability (HRV) index, specifically the LF/HF value, for real-time thermal comfort assessment.