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Liang Zhang
Liang Zhang
Assistant Professor at The University of Arizona; Joint Appointee at NREL
Verified email at arizona.edu - Homepage
Title
Cited by
Cited by
Year
A review of machine learning in building load prediction
L Zhang, J Wen, Y Li, J Chen, Y Ye, Y Fu, W Livingood
Applied Energy 285, 116452, 2021
3422021
Grey-box modeling and application for building energy simulations-A critical review
Y Li, Z O'Neill, L Zhang, J Chen, P Im, J DeGraw
Renewable and Sustainable Energy Reviews 146, 111174, 2021
1822021
A low cost seasonal solar soil heat storage system for greenhouse heating: Design and pilot study
L Zhang, P Xu, J Mao, X Tang, Z Li, J Shi
Applied Energy 156, 213-222, 2015
1282015
A systematic feature selection procedure for short-term data-driven building energy forecasting model development
L Zhang, J Wen
Energy and Buildings 183, 428-442, 2019
1132019
Sensor impacts on building and HVAC controls: A critical review for building energy performance
Y Bae, S Bhattacharya, B Cui, S Lee, Y Li, L Zhang, P Im, V Adetola, ...
Advances in Applied Energy 4, 100068, 2021
772021
A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems
J Chen, L Zhang, Y Li, Y Shi, X Gao, Y Hu
Renewable and Sustainable Energy Reviews 161, 112395, 2022
732022
End-use load profiles for the US building stock: Methodology and results of model calibration, validation, and uncertainty quantification
EJH Wilson, A Parker, A Fontanini, E Present, JL Reyna, R Adhikari, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022
442022
Sensor impact evaluation and verification for fault detection and diagnostics in building energy systems: A review
L Zhang, M Leach, Y Bae, B Cui, S Bhattacharya, S Lee, P Im, V Adetola, ...
Advances in Applied Energy 3, 100055, 2021
332021
Comparison of time-frequency-analysis techniques applied in building energy data noise cancellation for building load forecasting: A real-building case study
L Zhang, M Alahmad, J Wen
Energy and Buildings 231, 110592, 2021
322021
Active learning strategy for high fidelity short-term data-driven building energy forecasting
L Zhang, J Wen
Energy and Buildings 244, 111026, 2021
282021
Modeling occupancy-driven building loads for large and diversified building stocks through the use of parametric schedules
C Bianchi, L Zhang, D Goldwasser, A Parker, H Horsey
Applied Energy 276, 115470, 2020
272020
Data-driven building energy modeling with feature selection and active learning for data predictive control
L Zhang
Energy and Buildings 252, 111436, 2021
262021
A systematic feature extraction and selection framework for data-driven whole-building automated fault detection and diagnostics in commercial buildings
L Zhang, S Frank, J Kim, X Jin, M Leach
Building and Environment 186, 107338, 2020
222020
Metrics and methods to assess building fault detection and diagnosis tools
SM Frank, G Lin, X Jin, R Singla, A Farthing, L Zhang, J Granderson
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2019
192019
Evaluate the impact of sensor accuracy on model performance in data-driven building fault detection and diagnostics using Monte Carlo simulation
L Zhang, M Leach
Building Simulation 15 (5), 769-778, 2022
142022
High-resolution hourly surrogate modeling framework for physics-based large-scale building stock modeling
L Zhang, S Plathottam, J Reyna, N Merket, K Sayers, X Yang, M Reynolds, ...
Sustainable Cities and Society 75, 103292, 2021
142021
A pattern-recognition-based ensemble data imputation framework for sensors from building energy systems
L Zhang
Sensors 20 (20), 5947, 2020
132020
Challenges and opportunities of machine learning control in building operations
L Zhang, Z Chen, X Zhang, A Pertzborn, X Jin
Building Simulation 16 (6), 831-852, 2023
72023
Sensor cost-effectiveness analysis for data-driven fault detection and diagnostics in commercial buildings
L Zhang, M Leach, J Chen, Y Hu
Energy 263, 125577, 2023
62023
Data-driven whole building energy forecasting model for data predictive control
L Zhang
Drexel University, 2018
62018
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