| ANN-based thermal control models for residential buildings JW Moon, JJ Kim Building and Environment 45 (7), 1612-1625, 2010 | 194 | 2010 |
| Thermostat strategies impact on energy consumption in residential buildings JW Moon, SH Han Energy and Buildings 43 (2-3), 338-346, 2011 | 185 | 2011 |
| Comparative study of artificial intelligence-based building thermal control methods–Application of fuzzy, adaptive neuro-fuzzy inference system, and artificial neural network JW Moon, SK Jung, Y Kim, SH Han Applied Thermal Engineering 31 (14-15), 2422-2429, 2011 | 124 | 2011 |
| Performance of ANN-based predictive and adaptive thermal-control methods for disturbances in and around residential buildings JW Moon Building and Environment 48, 15-26, 2012 | 99 | 2012 |
| Analysis of occupants’ visual perception to refine indoor lighting environment for office tasks JH Lee, JW Moon, S Kim Energies 7 (7), 4116-4139, 2014 | 83 | 2014 |
| Impact of insulation on building energy consumption JJ Kim, JW Moon | 81 | 2009 |
| Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings JW Moon, SK Jung Applied Thermal Engineering 103, 1135-1144, 2016 | 79 | 2016 |
| Development of an artificial neural network model based thermal control logic for double skin envelopes in winter JW Moon, SH Yoon, S Kim Building and Environment 61, 149-159, 2013 | 71 | 2013 |
| Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system MH Chung, YK Yang, KH Lee, JH Lee, JW Moon Building and Environment 125, 77-87, 2017 | 58 | 2017 |
| Determining optimum control of double skin envelope for indoor thermal environment based on artificial neural network JW Moon, JH Lee, Y Yoon, S Kim Energy and Buildings 69, 175-183, 2014 | 48 | 2014 |
| Integrated artificial neural network prediction model of indoor environmental quality in a school building JH Cho, JW Moon Journal of Cleaner Production 344, 131083, 2022 | 42 | 2022 |
| Application of ANN (artificial-neural-network) in residential thermal control JW Moon, SK Jung, JJ Kim | 42 | 2009 |
| Algorithm for optimal application of the setback moment in the heating season using an artificial neural network model JW Moon, SK Jung Energy and Buildings 127, 859-869, 2016 | 40 | 2016 |
| Development of an energy cost prediction model for a VRF heating system BR Park, EJ Choi, J Hong, JH Lee, JW Moon Applied Thermal Engineering 140, 476-486, 2018 | 37 | 2018 |
| Development of annual daylight simulation algorithms for prediction of indoor daylight illuminance Y Yoon, JW Moon, S Kim Energy and Buildings 118, 1-17, 2016 | 36 | 2016 |
| Improvement in energy performance of building envelope incorporating electrochromic windows (ECWs) BR Park, J Hong, EJ Choi, YJ Choi, C Lee, JW Moon Energies 12 (6), 1181, 2019 | 35 | 2019 |
| Prediction performance of an artificial neural network model for the amount of cooling energy consumption in hotel rooms JW Moon, SK Jung, YO Lee, S Choi Energies 8 (8), 8226-8243, 2015 | 35 | 2015 |
| Thermal comfort, energy and cost impacts of PMV control considering individual metabolic rate variations in residential building SH Hong, JM Lee, JW Moon, KH Lee Energies 11 (7), 1767, 2018 | 34 | 2018 |
| ANN-based prediction and optimization of cooling system in hotel rooms JW Moon, K Kim, H Min Energies 8 (10), 10775-10795, 2015 | 33 | 2015 |
| Improving sustainability of ever-changing building spaces affected by users’ fickle taste: A focus on human comfort and energy use JW Moon, J Ahn Energy and Buildings 208, 109662, 2020 | 32 | 2020 |
Eun ji choiChung-ang UniversityVerified email at cau.ac.kr
