| Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data Y Gao, Y Ruan, C Fang, S Yin Energy and Buildings 223, 110156, 2020 | 217 | 2020 |
| Interpretable deep learning model for building energy consumption prediction based on attention mechanism Y Gao, Y Ruan Energy and Buildings 252, 111379, 2021 | 95 | 2021 |
| 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 | 66 | 2022 |
| Improved multistep ahead photovoltaic power prediction model based on LSTM and self-attention with weather forecast data Z Hu, Y Gao, S Ji, M Mae, T Imaizumi Applied Energy 359, 122709, 2024 | 60 | 2024 |
| 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 | 55 | 2022 |
| A multi-source transfer learning model based on LSTM and domain adaptation for building energy prediction H Lu, J Wu, Y Ruan, F Qian, H Meng, Y Gao, T Xu International Journal of Electrical Power & Energy Systems 149, 109024, 2023 | 52 | 2023 |
| 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 | 38 | 2022 |
| Operation strategy optimization of combined cooling, heating, and power systems with energy storage and renewable energy based on deep reinforcement learning Y Ruan, Z Liang, F Qian, H Meng, Y Gao Journal of Building Engineering 65, 105682, 2023 | 37 | 2023 |
| 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 | 31 | 2023 |
| A novel model for the prediction of long-term building energy demand: LSTM with Attention layer Y Gao, C Fang, Y Ruan IOP conference series: earth and environmental science 294 (1), 012033, 2019 | 29 | 2019 |
| 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 | 28 | 2023 |
| 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 | 27 | 2022 |
| 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 | 25 | 2024 |
| 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 | 25 | 2023 |
| Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan Y Gao, Z Hu, S Shi, WA Chen, M Liu Applied Energy 359, 122685, 2024 | 18 | 2024 |
| 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 | 15 | 2023 |
| Impact of typical demand day selection on CCHP operational optimization Y Gao, Q Liu, S Wang, Y Ruan Energy Procedia 152, 39-44, 2018 | 11 | 2018 |
| 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 | 9 | 2023 |
| Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast … Z Hu, Y Gao, L Sun, M Mae, T Imaizumi Applied Energy 371, 123652, 2024 | 7 | 2024 |
| 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 | 7 | 2023 |
Zehuan HuThe University of TokyoVerified email at maelab.arch.t.u-tokyo.ac.jp