Mengjie Han
Cited by
Cited by
A review of data-driven approaches for prediction and classification of building energy consumption
Y Wei, X Zhang, Y Shi, L Xia, S Pan, J Wu, M Han, X Zhao
Renewable and Sustainable Energy Reviews 82, 1027-1047, 2018
Modeling occupant behavior in buildings
S Carlucci, M De Simone, SK Firth, MB Kjærgaard, R Markovic, ...
Building and Environment 174, 106768, 2020
Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks
Y Wei, L Xia, S Pan, J Wu, X Zhang, M Han, W Zhang, J Xie, Q Li
Applied energy 240, 276-294, 2019
Techno-economic analysis of a solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method
Y Gu, X Zhang, JA Myhren, M Han, X Chen, Y Yuan
Energy Conversion and Management 165, 8-24, 2018
A study on influential factors of occupant window-opening behavior in an office building in China
S Pan, Y Xiong, Y Han, X Zhang, L Xia, S Wei, J Wu, M Han
Building and environment 133, 41-50, 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
A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions
X Zhang, M Lovati, I Vigna, J Widén, M Han, C Gal, T Feng
Applied Energy 230, 1034-1056, 2018
Measuring transport related CO2 emissions induced by online and brick-and-mortar retailing
K Carling, M Han, J Håkansson, X Meng, N Rudholm
Transportation Research Part D: Transport and Environment 40, 28-42, 2015
Comparison and one-stop shopping after big-box retail entry: A spatial difference-in-difference analysis
M Han, O Mihaescu, Y Li, N Rudholm
Journal of Retailing and Consumer Services 40, 175-187, 2018
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 14, 219-235, 2021
Does Euclidean distance work well when the p-median model is applied in rural areas?
K Carling, M Han, J Håkansson
Annals of Operations Research 201 (1), 83-97, 2012
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
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
The reinforcement learning method for occupant behavior in building control: A review
M Han, J Zhao, X Zhang, J Shen, Y Li
Energy and Built Environment 2 (2), 137-148, 2021
A review of reinforcement learning methodologies on control systems for building energy
M Han, X Zhang, L Xu, R May, S Pan, J Wu
Högskolan Dalarna, 2018
Development of an adaptation table to enhance the accuracy of the predicted mean vote model
Y Li, Y Rezgui, A Guerriero, X Zhang, M Han, S Kubicki, D Yan
Building and Environment 168, 106504, 2020
Digital twin for accelerating sustainability in positive energy district: A review of simulation tools and applications
X Zhang, J Shen, PK Saini, M Lovati, M Han, P Huang, Z Huang
Frontiers in Sustainable Cities 3, 663269, 2021
Distance measure and the -median problem in rural areas
K Carling, M Han, J Håkansson, P Rebreyend
Annals of Operations Research 226 (1), 89-99, 2015
An approach to data acquisition for urban building energy modeling using a gaussian mixture model and expectation-maximization algorithm
M Han, Z Wang, X Zhang
Buildings 11 (1), 30, 2021
How do different densities in a network affect the optimal location of service centers?
M Han, J Håkansson, P Rebreyend
Högskolan Dalarna, 2013
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