1 서동연, "인공지능에 의한 건축형태의 인지방법에 관한 연구" 대한건축학회 19 (19): 17-24, 2003
2 문진우, "인공지능망과 뉴로퍼지 모델을 이용한 주거건물 냉난방 시스템 조절 로직 및 예비 성능 시험" 한국주거학회 22 (22): 113-122, 2011
3 서원준, "유전프로그래밍과 BEMS 데이터를 이용한 실내온도 기계학습 모델" 대한건축학회 32 (32): 105-112, 2016
4 DOE, Department Of Energy, "Using DOE Commercial Reference Buildings for Simulation Studies" 2010
5 Kang, I., "Recent Research Trends of Artificial Intelligence in Buildings - Review of Domestic and International Journal Papers -" 36 (36): 635-647, 2016
6 Suh, W., "Real-time Optimal Control of Chiller using Genetic Programming" 36 (36): 627-628, 2016
7 Kim, Y., "Real-Time Optimal Control of Chiller Operation using Data driven Gaussian Process Model" 195-196, 2014
8 Kim, Y., "Optimized neural network for Real time Model-based Predictive Control" 159-160, 2015
9 Nassif, N., "Modeling and Optimization of HVAC systems using Artificial Neural Network and Genetic Algorithm" 7 (7): 237-245, 2014
10 Shin, H., "Machine Learning Model for Optimal Control of an Ice Thermal Storage System in an Existing Building" 36 (36): 629-630, 2016
1 서동연, "인공지능에 의한 건축형태의 인지방법에 관한 연구" 대한건축학회 19 (19): 17-24, 2003
2 문진우, "인공지능망과 뉴로퍼지 모델을 이용한 주거건물 냉난방 시스템 조절 로직 및 예비 성능 시험" 한국주거학회 22 (22): 113-122, 2011
3 서원준, "유전프로그래밍과 BEMS 데이터를 이용한 실내온도 기계학습 모델" 대한건축학회 32 (32): 105-112, 2016
4 DOE, Department Of Energy, "Using DOE Commercial Reference Buildings for Simulation Studies" 2010
5 Kang, I., "Recent Research Trends of Artificial Intelligence in Buildings - Review of Domestic and International Journal Papers -" 36 (36): 635-647, 2016
6 Suh, W., "Real-time Optimal Control of Chiller using Genetic Programming" 36 (36): 627-628, 2016
7 Kim, Y., "Real-Time Optimal Control of Chiller Operation using Data driven Gaussian Process Model" 195-196, 2014
8 Kim, Y., "Optimized neural network for Real time Model-based Predictive Control" 159-160, 2015
9 Nassif, N., "Modeling and Optimization of HVAC systems using Artificial Neural Network and Genetic Algorithm" 7 (7): 237-245, 2014
10 Shin, H., "Machine Learning Model for Optimal Control of an Ice Thermal Storage System in an Existing Building" 36 (36): 629-630, 2016
11 Seong, N., "Development of module service on central HVAC system to applicate Building energy management system(BEMS)" 114-116, 2016
12 Ra, S., "Development and cross-comparison of five machine learning models for HVAC systems in an existing office building" 36 (36): 625-626, 2016
13 Nassif, N., "Development and Testing of Building Energy Model Using Non-Linear Auto Regression Neural Networks" 2016
14 Park, D., "Control of HVAC optimal start/stop using Artificial Neural Network" 395-396, 2013
15 Moon, J., "Comparative analysis on the thermal control performance of the different application level of artificial networkbased methods for the double skin envelope building" 14 (14): 84-85, 2014
16 Lee, H., "Artificial intelligence approach to architectural design methodology" 7 (7): 23-36, 1991
17 Yang, I., "A Study on the application of Artificial Neural Network for optimal operation of HVAC systems" 13 (13): 97-107, 1997