Strategies for sensor virtual in-situ calibration in building energy system: Sensor evaluation and data-driven based methods

[1]  A. Parlikad,et al.  Digital twin enabled fault detection and diagnosis process for building HVAC systems , 2023, Automation in Construction.

[2]  Sungmin Yoon,et al.  Improvement for energy efficiency and control characteristics in variable air volume system using in-situ sensor calibration method based on autoencoder , 2023, Journal of Building Engineering.

[3]  Sungmin Yoon,et al.  In-situ sensor virtualization and calibration in building systems , 2022, Applied Energy.

[4]  Xinghua Gao,et al.  A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems , 2022, Renewable and Sustainable Energy Reviews.

[5]  Yawovi Souley Agbodjan,et al.  Multi-Objective Optimization of Multi-Energy Complementary Integrated Energy Systems Considering Load Prediction and Renewable Energy Production Uncertainties , 2022, SSRN Electronic Journal.

[6]  T. Zhao,et al.  Event-driven online decoupling control mechanism for the variable flow rate HVAC system based on the medium response properties , 2022, Building and Environment.

[7]  Sungmin Yoon,et al.  Improvement of Virtual In-situ Calibration in Air Handling Unit Using Data Preprocessing Based on Gaussian Mixture Model , 2021, Energy and Buildings.

[8]  Yong-Shik Kim,et al.  System-level virtual sensing method in building energy systems using autoencoder: Under the limited sensors and operational datasets , 2021 .

[9]  T. Ngo,et al.  Performance evaluation of low-cost air quality sensors: A review. , 2021, The Science of the total environment.

[10]  Shengwei Wang,et al.  Flow Measurement Uncertainty Quantification for Building Central Cooling Systems with Multiple Water-Cooled Chillers Using a Bayesian Approach , 2021, Applied Thermal Engineering.

[11]  Jiaqiang Wang,et al.  In-situ sensor correction method for data center cooling systems using Bayesian Inference coupling with autoencoder , 2021, Sustainable Cities and Society.

[12]  Haorong Li,et al.  Improved energy balance calculation of unitary air conditioners via virtual in-situ calibration , 2021, Journal of Building Engineering.

[13]  Sungmin Yoon,et al.  The effects of multidimensional data clustering on the accuracy of virtual in-situ calibration in the photovoltaic/Thermal heat pump system , 2021, Journal of Building Engineering.

[14]  Thomas P. Roth,et al.  Integrated sensor data processing for occupancy detection in residential buildings , 2021, Energy and Buildings.

[15]  Hongjun Lin,et al.  New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water. , 2021, The Science of the total environment.

[16]  Wei Gu,et al.  State estimation models of district heating networks for integrated energy system considering incomplete measurements , 2021 .

[17]  J. Volckens,et al.  Effects of aerosol type and simulated aging on performance of low-cost PM sensors , 2020 .

[18]  Peng Wang,et al.  Effects of various partitions on the accuracy of virtual in-situ calibration in building energy systems , 2020 .

[19]  Sungmin Yoon,et al.  In-situ sensor calibration in an operational air-handling unit coupling autoencoder and Bayesian inference , 2020 .

[20]  Sungmin Yoon,et al.  Virtual sensor-assisted in situ sensor calibration in operational HVAC systems , 2020 .

[21]  Peng Wang,et al.  The detection and correction of various faulty sensors in a photovoltaic thermal heat pump system , 2020 .

[22]  B. Singer,et al.  Performance of low-cost indoor air quality monitors for PM2.5 and PM10 from residential sources , 2020, Building and Environment.

[23]  Peng Wang,et al.  Automated reviving calibration strategy for virtual in-situ sensor calibration in building energy systems: Sensitivity coefficient optimization , 2019, Energy and Buildings.

[24]  Sungmin Yoon,et al.  Impacts of HVACR temperature sensor offsets on building energy performance and occupant thermal comfort , 2018, Building Simulation.

[25]  Sungmin Yoon,et al.  Strategies for virtual in-situ sensor calibration in building energy systems , 2018, Energy and Buildings.

[26]  Sungmin Yoon,et al.  Hidden factors and handling strategy for accuracy of virtual in-situ sensor calibration in building energy systems: Sensitivity effect and reviving calibration , 2018, Energy and Buildings.

[27]  Sungmin Yoon,et al.  Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect , 2018 .

[28]  Carlo Ratti,et al.  End-user perspective of low-cost sensors for outdoor air pollution monitoring. , 2017, The Science of the total environment.

[29]  Wandong Zheng,et al.  Hydraulic performance optimization of meshed district heating network with multiple heat sources , 2017 .

[30]  K. Koehler,et al.  Evaluation of consumer monitors to measure particulate matter. , 2017, Journal of aerosol science.

[31]  Geert Van Ham,et al.  Economic impact of persistent sensor and actuator faults in concrete core activated office buildings , 2017 .

[32]  Sungmin Yoon,et al.  A quantitative comparison of statistical and deterministic methods on virtual in-situ calibration in building systems , 2017 .

[33]  Ling Chen,et al.  Data-driven based reliability evaluation for measurements of sensors in a vapor compression system , 2017 .

[34]  Randal S. Martin,et al.  Ambient and laboratory evaluation of a low-cost particulate matter sensor. , 2017, Environmental pollution.

[35]  Haorong Li,et al.  Virtual in-situ calibration method in building systems , 2015 .

[36]  Doosam Song,et al.  A calibration method for whole-building airflow simulation in high-rise residential buildings , 2015 .

[37]  Mitchell Bartholomew,et al.  Creating an educational context for Open Source Intelligence: The development of Internet self-efficacy through a blogcentric course , 2013, Comput. Educ..

[38]  Li Zhengwei,et al.  Preventive approach to determine sensor importance and maintenance requirements , 2013 .

[39]  Yuebin Yu,et al.  Virtual calibration of a supply air temperature sensor in rooftop air conditioning units , 2011 .

[40]  Mo Yang,et al.  Decoupling features for fault detection and diagnosis on centrifugal chillers (1486-RP) , 2011 .

[41]  Qiang Zhou,et al.  A model‐based fault detection and diagnosis strategy for HVAC systems , 2009 .

[42]  Sungmin Yoon,et al.  Extended virtual in-situ calibration method in building systems using Bayesian inference , 2017 .

[43]  Russell Long,et al.  Integrating Sensor Monitoring Technology into the Current Air Pollution Regulatory Support Paradigm: Practical Considerations , 2014 .

[44]  Chao Ren,et al.  Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting , 2014, Knowl. Based Syst..