Articles with public access mandates - Liang ZhangLearn more
Not available anywhere: 1
Development and Validation of a Simulation Testbed for the Intelligent Building Agents Laboratory (IBAL) using TRNSYS.
O Pradhan, A Pertzborn, L Zhang, J Wen
ASHRAE Transactions 126 (2), 2020
Mandates: US Department of Energy
Available somewhere: 25
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US National Science Foundation, US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy, European Commission
Active learning strategy for high fidelity short-term data-driven building energy forecasting
L Zhang, J Wen
Energy and Buildings 244, 111026, 2021
Mandates: US National Science Foundation, US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy
Data-driven building energy modeling with feature selection and active learning for data predictive control
L Zhang
Energy and Buildings 252, 111436, 2021
Mandates: US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy
End-use load profiles for the US building stock
E Wilson, A Parker, A Fontanini, E Present, J Reyna, R Adhikari, ...
DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory …, 2021
Mandates: US Department of Energy
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
Mandates: US Department of Energy
A pattern-recognition-based ensemble data imputation framework for sensors from building energy systems
L Zhang
Sensors 20 (20), 5947, 2020
Mandates: US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy
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
Mandates: US Department of Energy
Sensor Impacts Evaluation and Verification: Expert Interview Responses
P Im, Y Bae, B Cui, S Lee, S Bhattacharya, V Adetola, D Vrabie, L Zhang, ...
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2020
Mandates: US Department of Energy
Publication and funding information is determined automatically by a computer program