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 |
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. |