| Modeling occupancy and behavior for better building design and operation—A critical review B Dong, D Yan, Z Li, Y Jin, X Feng, H Fontenot Building Simulation 11, 899-921, 2018 | 201 | 2018 |
| A review of reinforcement learning methodologies for controlling occupant comfort in buildings M Han, R May, X Zhang, X Wang, S Pan, D Yan, Y Jin, L Xu Sustainable cities and society 51, 101748, 2019 | 168 | 2019 |
| Building occupancy forecasting: A systematical and critical review Y Jin, D Yan, A Chong, B Dong, J An Energy and buildings 251, 111345, 2021 | 84 | 2021 |
| Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review B Dong, Y Liu, H Fontenot, M Ouf, M Osman, A Chong, S Qin, F Salim, ... Applied Energy 293, 116856, 2021 | 79 | 2021 |
| A novel reinforcement learning method for improving occupant comfort via window opening and closing M Han, R May, X Zhang, X Wang, S Pan, Y Da, Y Jin Sustainable Cities and Society 61, 102247, 2020 | 72 | 2020 |
| A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development Y Jin, D Yan, X Zhang, J An, M Han Building Simulation, 2020 | 61 | 2020 |
| Household appliance recognition through a Bayes classification model D Yan, Y Jin, H Sun, B Dong, Z Ye, Z Li, Y Yuan Sustainable Cities and Society 46, 101393, 2019 | 42 | 2019 |
| Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach Y Jin, D Yan, X Kang, A Chong, S Zhan Energy and Buildings 252, 111362, 2021 | 39 | 2021 |
| Typical weekly occupancy profiles in non-residential buildings based on mobile positioning data X Kang, D Yan, J An, Y Jin, H Sun Energy and Buildings 250, 111264, 2021 | 38 | 2021 |
| Clustering-based probability distribution model for monthly residential building electricity consumption analysis J Xu, X Kang, Z Chen, D Yan, S Guo, Y Jin, T Hao, R Jia Building Simulation 14, 149-164, 2021 | 38 | 2021 |
| The evaluation of stochastic occupant behavior models from an application-oriented perspective: Using the lighting behavior model as a case study D Yan, X Feng, Y Jin, C Wang Energy and Buildings 176, 151-162, 2018 | 31 | 2018 |
| Appliance use behavior modelling and evaluation in residential buildings: A case study of television energy use Y Jin, J Xu, D Yan, H Sun, J An, J Tang, R Zhang Building Simulation 13, 787-801, 2020 | 26 | 2020 |
| An approach for obtaining and extracting occupancy patterns in buildings based on mobile positioning data X Kang, D Yan, H Sun, Y Jin, P Xu Building Simulation 2019 16, 2364-2370, 2019 | 13 | 2019 |
| 区域尺度住宅建筑日用电负荷模型构建方法研究 徐杰彦,许雯旸,褚渊,晋远,康旭源陈征 中国电力 53 (08), 29-39, 2020 | 8 | 2020 |
| Lighting System Control in Office Building Using Occupancy Prediction Based on Historical Occupied Ratio Y Jin, D Yan, H Sun IOP Conference Series: Earth and Environmental Science 238 (1), 012009, 2019 | 7 | 2019 |
| District household electricity consumption pattern analysis based on auto-encoder algorithm Y Jin, D Yan, X Zhang, M Han, X Kang, J An, H Sun IOP Conference Series: Materials Science and Engineering 609 (7), 072028, 2019 | 3 | 2019 |
| 基于大数据 Bayes 分类的家电设备识别算法 晋远， 孙红三， 叶紫， 燕达， 吴如宏 建筑科学 33 (4), 31-38, 2017 | 3 | 2017 |
| Analytical Methodology of Monthly Residential Building Electricity Consumption Based on Data Mining Models X Kang, D Yan, H Sun, Y Jin IOP Conference Series: Earth and Environmental Science 238 (1), 012050, 2019 | 2 | 2019 |
| Study on Occupancy Prediction for Building Operation using Machine Learning Method Y Jin, D Yan, H Sun Building Simulation 2019 16, 2157-2164, 2019 | 1 | 2019 |
| 基于统计方法的家用电器行为模型 晋远， 燕达， 孙红三 建筑科学, 13, 2018 | 1 | 2018 |
Da YanProfessor, School of Architecture, Tsinghua Universityبريد إلكتروني تم التحقق منه على tsinghua.edu.cn