2021 |
Development of a Deep Neural Network Model for Estimating Joint Location of Occupant Indoor Activities for Providing Thermal Comfort
Energies, Vol. 14(3), 696. |
2020 |
Min Hee Chung, Bo Rang Park, Eun Jin Choi, Young Jae Choi, Choonyeob Lee, Jongin Hong, Hye Un Cho, Jin Hyeon Cho, Jin Woo Moon (2020) Performance level criteria for semi-transparent photovoltaic windows based on dye-sensitized solar cells
Solar Energy Materials and Solar Cells, 217, 110683. |
2020 |
Operation guidelines for daylight dimming control systems in an office with lightshelf configurations
Building and Environment, Vol. 180, 106968. |
2020 |
Performance Evaluation of Control Methods for PV-Integrated Shading Devices
Energies, Vol. 13(12), 3171. |
2020 |
Modeling, calibration, and sensitive analysis of direct expansion AHU-Water source VRF system
Energy, Vol. 199, 117435. |
2020 |
Accuracy Analysis of DNN-Based Pose-Categorization Model and Activity-Decision Algorithm
Energies, Vol. 13(4). |
2020 |
Improving sustainability of ever-changing building spaces affected by users’ fickle taste: A focus on human comfort and energy use
Energy and Buildings, Vol. 208. |
2019 |
Development of Occupant Pose Classification Model Using Deep Neural Network for Personalized Thermal Conditioning
Energies, Vol. 13(1). |
2019 |
Improvement in Energy Performance of Building Envelope Incorporating Electrochromic Windows (ECWs)
Energies, Vol. 12(6), pp. 1181-1197. |
2019 |
Development of a control algorithm amining at cost-effective operation of a VRF heating system
Applied Thermal Engineering, Vol. 149, pp. 1522-1531. |
2018 |
Development of control algorithms of optimal thermal environment of double skin envelope buildings in summer
Energies, Vol. 11, pp. 1-22. |
2018 |
Analysis on Thermal Comfort, Energy and Cost Impacts of PMV Control Considering Individual MET Variations in Residential Building
Building and Environment, Vol. 144, pp. 657-672. |
2018 |
Artificial Neural Network-Based Control of a Variable Refrigerant Flow System in the Cooling Season
Energies, Vol. 11(7), pp. 1-15. |
2018 |
Development of an Energy Cost Prediction Model for a VRF Heating System
Applied Thermal Engineering, Vol. 140, pp. 476-486. |
2017 |
Application of Artificial Neural Networks for Determining Energy-Efficient Operating Set-points of the VRF Cooling System
Building and Environment, Vol. 125, pp. 77-87. |
2017 |
Accuracy analysis of computational algorithms for prediction of daylight illuminance in space with shading devices
Solar Energy, Vol. 0533, pp. 700-717. |
2017 |
Prediction models and control algorithms for predictive applications of setback temperature in coolling systems
Applied Thermal Engineering, vol. 113, pp. 1290-1302. |
2016 |
Performance of a predictive model for calculating ascent time to a target temperature
Energies, vol. 25(6), pp. 916-933. |
2016 |
Influence of control logic on variation of indoor thermal environment for residential buildings
Indoor and Built Envrionment, vol. 25(6), pp. 916-933. |
2016 |
Algorithm for optimal application of the setback moment in the heating season using an artificial neural network model
Energy and Buildings, vol. 127, pp. 859-869. |
2016 |
Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings
Applied Thermal Engineering, vol. 103, pp. 1135-1144. |
2016 |
Development of annual daylight simulation algorithms for prediction of indoor daylight illuminance
Energy and Buildings, vol. 118, pp. 1-17. |
2015 |
Comparative performance analysis of the artificial-intelligence-based thermal control algorithms for the double-skin building
Applied Thermal Engineering, Vol. 91, pp. 334-344. |
2015 |
ANN-Based Prediction and Optimization of Cooling System in Hotel Rooms
Energies, Vol. 8, pp. 10775-10795. |
2015 |
Prediction Performance of an Artificial Neural Network Model for the Amount of Cooling Energy Consumption in Hotel Rooms
Energies, Vol. 8, pp. 8226-8243. |
2015 |
Integrated control of the cooling system and surface openings using the artificial neural networks
Applied Thermal Engineering, Vol. 78, pp. 150-161. |
2014 |
Evaluation of Artificial Neural Network-based Temperature Control for Optimum Operation of Building Envelopes
Energies, Vol. 7, pp. 7245-7265. |
2014 |
Application of control logic for optimum indoor thermal environment in buildings with double skin envelope systems
Energy and Buildings, Vol. 85, pp. 59-71. |
2014 |
Performance evaluation of artificial neural network-based variable control logic for double skin enveloped buildings during the heating season
Building and Environment, Vol. 82, pp. 328-338. |
2014 |
Analysis of Occupants’ Visual Perception to Refine Indoor Lighting Environment for Office Tasks
Energies, Vol. 7, pp. 4116-4139. |
2014 |
Preliminary performance tests on artificial neural network models for opening strategies of double skin envelopes in winter
Energy and Buildings, Vol. 75, pp. 301-311. |
2014 |
Determining optimum control of double skin envelope for indoor thermal environment based on artificial neural network
Energy and Buildings, Vol. 69, pp. 175-183. |
2013 |
Optimum Application of Thermal Factors to Artificial Neural Network Models for Improvement of Control Performance in Double Skin-Envelope Buildings
Energies, Vol. 6, pp. 4223-4245. |
2013 |
Determining Adaptability Performance of Artificial Neural Network-Based Thermal Control Logics for Envelope Conditions in Residential Buildings
Energies, Vol. 6, pp. 3548-3570. |
2013 |
Development of an artificial neural network model based thermal control logic for double skin envelopes in winter
Building and Environment, Vol. 61, pp. 149-159. |
2012 |
A Comparative study between Thermostat/Hygrometer-Based Conventional and Artificial Neural Network-Based Predictive/Adaptive Thermal Controls in Residential Buildings
Journal of Asian Architecture and Building Engineering, Vol. 11, N. 1, pp. 169-176. |
2012 |
Performance of ANN-based predictive and adaptive thermal control methods for disturbances in and around residential buildings
Building and Environment, Vol. 48, pp. 15-26. |
2011 |
Comparative study of artificial intelligence-based building thermal control methods-Application of fuzzy, adaptive neuro-fuzzy inference system, and artificial neural network
Applied Thermal Engineering, Vol. 31, N. 14-15, pp. 2422-2429. |
2011 |
Impact of Thermostat Strategies on the Building Energy Consumption
Energy and Buildings, Vol. 43, N. 2-3, pp. 338-346. |
2010 |
ANN-based thermal control models for residential buildings
Building and Environment, Vol. 45, Issue 7, pp. 1612-1625. |