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2021 Vol.15, Issue 5

Research Article

30 October 2021. pp. 419-430
Abstract
References
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Bang, S.K., Yoo, J.H., Hwang, H.J. (2017). A Study on the Development of Energy Simulation Program for Non-specialist to Thrive Green Remodeling Basis, Architectural Institute of Korea, 37(1), 555-558
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Cho, K.S., Cho, D.W. (2018). Analysis of Greenremodeling Demonstration according to 'Greenremodeling Certification Criteria for Existing Non-residential Buildings' -Focusing on the H Public Office-. KIEAE Journal, 18(2), 81-88. 10.12813/kieae.2018.18.2.081
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Choi, J.W., Lee, J.G. (2021). Establishment of standard models according to public building types for the green-remodeling pre-decision making supporting tools. Korea Journal of KIEAE, 21(3), 17-23. 10.12813/kieae.2021.21.3.017
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Kim, H.J., Oh, C.H. (2020). Derivation of Reference Building Standard in Energy Sector through Analysis of Permit Status for Public Buildings (non-residential). Korea Institute of Ecological Architecture and Environment, 20(2), 139-152. 10.12813/kieae.2020.20.2.139
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Kim, H.J., Seo, D.H. (2018). A Review on the Definition Methods of Prototypical Office Building for Energy Analysis. Korea: Journal of the Architectural Institute of Korea Structure & Construction, 34(3), 103-111.
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Kim, J.S., Yoo, D.C., Choi, C.H., Jang, H.I. (2020) Development of Energy Variable Definition and Reference Model for Predicting Energy Consumption of Low-rise Residential Buildings. Korea Journal of Architectural Institute of Korea, 36(12), 199-208.
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Park, D.Y., Choi, S.G., Hwang, D.K., Oh, M.D. (2019). A Study on the Reference Building Model for the Selection of Unit Cooling Loads for Non-residential Buildings. Korea Journal of Air-Conditioning and Refreigeration Engineering, 31(8), 370-379. 10.6110/KJACR.2019.31.8.370
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Seo, D.H., Noh, B.I., Ihm, P.C. (2014). A Research on Prototypical Apartment House Definition for Detailed Building Energy Simulation. Korea: Korean Association of Architectural Associations, 16(6), 285-296.
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Yoo, D.C., Kim, K.S., Choi, C.H., Cho, S.E., Jang, H.I. (2021). Development of a Machine Learning-based Low-rise Residential Building Energy Consumption Prediction Model. Journal of KIAEBS, 15(2), 152-165.
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Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 15
  • No :5
  • Pages :419-430
  • Received Date : 2021-07-06
  • Revised Date : 2021-10-05
  • Accepted Date : 2021-10-08
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