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Volumn 52, Issue , 2012, Pages 142-151

A decision support model for improving a multi-family housing complex based on CO 2 emission from gas energy consumption

Author keywords

Case based reasoning; CO 2 emissions; Decision tree; Energy consumption; Energy savings; Multi family housing

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BASIC RESEARCH; DECISION SUPPORT MODELS; ENERGY-SAVING MEASURES; ENERGY-SAVINGS; GAS ENERGY; KOREAN GOVERNMENT; MULTIPLE REGRESSION ANALYSIS; PREDICTION ACCURACY; RESIDENTIAL ENVIRONMENT; SAVING ENERGY;

EID: 84862776867     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2012.01.001     Document Type: Article
Times cited : (54)

References (36)
  • 1
    • 0028516957 scopus 로고
    • Aregression model for electric-energy-consumption forecasting in Eastern Saudi Arabia
    • Al-Garni A.Z., Zubair S.M., Nizami J.S. Aregression model for electric-energy-consumption forecasting in Eastern Saudi Arabia. Energy 1994, 19:1043-1049.
    • (1994) Energy , vol.19 , pp. 1043-1049
    • Al-Garni, A.Z.1    Zubair, S.M.2    Nizami, J.S.3
  • 2
    • 0037465897 scopus 로고    scopus 로고
    • Modelling of residential energy consumption at the national level
    • Aydinalp M., Ugursal V.I., Fung A.S. Modelling of residential energy consumption at the national level. Int J Energ Res 2003, 27:441-453.
    • (2003) Int J Energ Res , vol.27 , pp. 441-453
    • Aydinalp, M.1    Ugursal, V.I.2    Fung, A.S.3
  • 3
    • 34047099220 scopus 로고    scopus 로고
    • Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption
    • Azadeh A., Ghaderi S.F., Tarverdian S., Saberi M. Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption. Appl Math Comput 2007, 186:1731-1741.
    • (2007) Appl Math Comput , vol.186 , pp. 1731-1741
    • Azadeh, A.1    Ghaderi, S.F.2    Tarverdian, S.3    Saberi, M.4
  • 4
    • 33751291772 scopus 로고    scopus 로고
    • European residential building and empirical assessment of the Hellenic building stock, energy consumption, emissions and potential energy savings
    • Balaras C.A., Gaglia A.G., Georgopoulou E., Mirasgedis S., Sarafidis Y., Lalas D.P. European residential building and empirical assessment of the Hellenic building stock, energy consumption, emissions and potential energy savings. Build Environ 2007, 42:1298-1314.
    • (2007) Build Environ , vol.42 , pp. 1298-1314
    • Balaras, C.A.1    Gaglia, A.G.2    Georgopoulou, E.3    Mirasgedis, S.4    Sarafidis, Y.5    Lalas, D.P.6
  • 5
    • 1642323621 scopus 로고    scopus 로고
    • Cooling load prediction for buildings using general regression neural networks
    • Ben-Nakhi A.E., Mahmoud M.A. Cooling load prediction for buildings using general regression neural networks. Energ Convers Manag 2004, 45:2127-2141.
    • (2004) Energ Convers Manag , vol.45 , pp. 2127-2141
    • Ben-Nakhi, A.E.1    Mahmoud, M.A.2
  • 6
    • 81255135835 scopus 로고    scopus 로고
    • Estimation model and benchmarks for heating energy consumption of school and sport facilities in Germany
    • Beusker E., Stoy C., Pollalis S.N. Estimation model and benchmarks for heating energy consumption of school and sport facilities in Germany. Build Environ 2012, 49:324-335.
    • (2012) Build Environ , vol.49 , pp. 324-335
    • Beusker, E.1    Stoy, C.2    Pollalis, S.N.3
  • 7
    • 0033092765 scopus 로고    scopus 로고
    • Reducing household energy consumption: a qualitative and quantitative field study
    • Brandon G., Lewis A. Reducing household energy consumption: a qualitative and quantitative field study. JEnviron Psychol 1999, 12:75-85.
    • (1999) JEnviron Psychol , vol.12 , pp. 75-85
    • Brandon, G.1    Lewis, A.2
  • 9
    • 17144445852 scopus 로고    scopus 로고
    • Comparison of methods for predicting monthly post-retrofit energy use in buildings
    • Chen Z., Nelson R.M., Ashlock D.A. Comparison of methods for predicting monthly post-retrofit energy use in buildings. ASHRAE Trans 2003, 109:449-459.
    • (2003) ASHRAE Trans , vol.109 , pp. 449-459
    • Chen, Z.1    Nelson, R.M.2    Ashlock, D.A.3
  • 10
    • 33748765247 scopus 로고    scopus 로고
    • Determining attribute weights in a CBR model for early cost prediction of structural systems
    • Dogan S.Z., Arditi D., Gunaydin H.M. Determining attribute weights in a CBR model for early cost prediction of structural systems. JConstr Eng Manage 2006, 132:1092-1098.
    • (2006) JConstr Eng Manage , vol.132 , pp. 1092-1098
    • Dogan, S.Z.1    Arditi, D.2    Gunaydin, H.M.3
  • 11
    • 55549127896 scopus 로고    scopus 로고
    • Assessing energy-saving measures in buildings through an intelligent decision support model
    • Doukas H., Nychtis C., Psarras J. Assessing energy-saving measures in buildings through an intelligent decision support model. Build Environ 2009, 40:290-298.
    • (2009) Build Environ , vol.40 , pp. 290-298
    • Doukas, H.1    Nychtis, C.2    Psarras, J.3
  • 12
    • 18944407569 scopus 로고    scopus 로고
    • An electric energy consumer characterization framework based on data mining techniques
    • Figueiredo V., Rodrigues F., Vale Z., Gouveia J.B. An electric energy consumer characterization framework based on data mining techniques. IEEE Trans Power Syst 2005, 20:596-602.
    • (2005) IEEE Trans Power Syst , vol.20 , pp. 596-602
    • Figueiredo, V.1    Rodrigues, F.2    Vale, Z.3    Gouveia, J.B.4
  • 13
    • 38049180517 scopus 로고    scopus 로고
    • Estimating local greenhouse gas emissions - a case study on a Portuguese municipality
    • Gomes J., Nascimento J., Rodrigues H. Estimating local greenhouse gas emissions - a case study on a Portuguese municipality. Int J Green Gas Con 2008, 2:130-135.
    • (2008) Int J Green Gas Con , vol.2 , pp. 130-135
    • Gomes, J.1    Nascimento, J.2    Rodrigues, H.3
  • 14
    • 0033879856 scopus 로고    scopus 로고
    • Artificial neural networks for the prediction of the energy consumption of a passive solar building
    • Kalogirou S.A., Bojic M. Artificial neural networks for the prediction of the energy consumption of a passive solar building. Energy 2000, 25:479-491.
    • (2000) Energy , vol.25 , pp. 479-491
    • Kalogirou, S.A.1    Bojic, M.2
  • 15
    • 68849117417 scopus 로고    scopus 로고
    • Modeling and prediction of Turkey's electricity consumption using artificial neural networks
    • Kavaklioglu K., Ceylan H., Ozturk H.K., Canyurt O.E. Modeling and prediction of Turkey's electricity consumption using artificial neural networks. Energ Convers Manag 2009, 50:2719-2727.
    • (2009) Energ Convers Manag , vol.50 , pp. 2719-2727
    • Kavaklioglu, K.1    Ceylan, H.2    Ozturk, H.K.3    Canyurt, O.E.4
  • 17
    • 0033743072 scopus 로고    scopus 로고
    • Combination of artificial neural-network forecasters for prediction of natural gas consumption
    • Khotanzad A., Elragal H., Lu T.L. Combination of artificial neural-network forecasters for prediction of natural gas consumption. IEEE Trans Neural Netw 2000, 11:464-473.
    • (2000) IEEE Trans Neural Netw , vol.11 , pp. 464-473
    • Khotanzad, A.1    Elragal, H.2    Lu, T.L.3
  • 18
    • 77953481735 scopus 로고    scopus 로고
    • ACBR-Based Hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects
    • Koo C., Hong T., Hyun C., Koo K. ACBR-Based Hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects. Can J Civ Eng 2010, 37:739-752.
    • (2010) Can J Civ Eng , vol.37 , pp. 739-752
    • Koo, C.1    Hong, T.2    Hyun, C.3    Koo, K.4
  • 19
    • 77956622658 scopus 로고    scopus 로고
    • Astudy on development of a cost model based on the owner's decision making at the early stages of a construction project
    • Koo C., Hong T., Hyun C., Park S., Seo J. Astudy on development of a cost model based on the owner's decision making at the early stages of a construction project. Int J Strat Property Manag 2010, 14:121-137.
    • (2010) Int J Strat Property Manag , vol.14 , pp. 121-137
    • Koo, C.1    Hong, T.2    Hyun, C.3    Park, S.4    Seo, J.5
  • 20
    • 79952443537 scopus 로고    scopus 로고
    • The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach
    • Koo C., Hong T., Hyun C. The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach. Int J Expert Syst Appl 2011, 38:8597-8606.
    • (2011) Int J Expert Syst Appl , vol.38 , pp. 8597-8606
    • Koo, C.1    Hong, T.2    Hyun, C.3
  • 21
    • 84862798981 scopus 로고    scopus 로고
    • Korea City Gas Association (KCGA)
    • Korea City Gas Association (KCGA) Statistical information May 12, 2011, http://www.citigas.or.kr.
    • (2011) Statistical information
  • 22
    • 84862815457 scopus 로고    scopus 로고
    • Korea CO2 Incentive System
    • 2 point Jun 21, 2011, http://www.cpoint.or.kr.
    • (2011) 2 point
  • 23
    • 84862822093 scopus 로고    scopus 로고
    • Korea Energy Management Corporation (KEMCO)
    • 2 emission May 27, 2011, http://co2.kemco.or.kr.
    • (2011) 2 emission
  • 24
    • 84862817934 scopus 로고    scopus 로고
    • Korea Land and Housing Corporation
    • Korea Land & Housing Corporation Urban regeneration Mar 23, 2011, http://www.lh.or.kr.
    • (2011) Urban regeneration
  • 25
    • 14044263461 scopus 로고    scopus 로고
    • Asimplified method to estimate energy savings of artificial lighting use from daylighting
    • Krarti M., Erickson P.M., Hillman T.C. Asimplified method to estimate energy savings of artificial lighting use from daylighting. Build Environ 2005, 40:747-754.
    • (2005) Build Environ , vol.40 , pp. 747-754
    • Krarti, M.1    Erickson, P.M.2    Hillman, T.C.3
  • 26
    • 21644454398 scopus 로고    scopus 로고
    • A new method for short term electric load forecasting, IEEE Asia-Pacific Conference on Circuits and Systems
    • Liao GC. A new method for short term electric load forecasting. IEEE Asia-Pacific Conference on Circuits and Systems 2004;2:1165-1168.
    • (2004) , vol.2 , pp. 1165-1168
    • Liao, G.C.1
  • 27
    • 77649231266 scopus 로고    scopus 로고
    • ANN-based thermal control models for residential buildings
    • Moon J.W., Kim J.-J. ANN-based thermal control models for residential buildings. Build Environ 2010, 45:1612-1625.
    • (2010) Build Environ , vol.45 , pp. 1612-1625
    • Moon, J.W.1    Kim, J.-J.2
  • 28
    • 0037116461 scopus 로고    scopus 로고
    • Applying decision tree methodology for rules extraction under cognitive constraints
    • Müller W., Wiederhold E. Applying decision tree methodology for rules extraction under cognitive constraints. Eur J Oper Res 2002, 136:282-289.
    • (2002) Eur J Oper Res , vol.136 , pp. 282-289
    • Müller, W.1    Wiederhold, E.2
  • 29
    • 52349093047 scopus 로고    scopus 로고
    • Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
    • Neto A.H., Fiorelli F.A.S. Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption. Energ Build 2008, 40:2169-2176.
    • (2008) Energ Build , vol.40 , pp. 2169-2176
    • Neto, A.H.1    Fiorelli, F.A.S.2
  • 30
    • 58149158065 scopus 로고    scopus 로고
    • Life cycle assessment of carbon dioxide capture and storage from lignite power plants
    • Pehnt M., Henkel J. Life cycle assessment of carbon dioxide capture and storage from lignite power plants. Int J Green Gas Con 2009, 3:49-66.
    • (2009) Int J Green Gas Con , vol.3 , pp. 49-66
    • Pehnt, M.1    Henkel, J.2
  • 31
    • 0033120014 scopus 로고    scopus 로고
    • Modelling of electrical energy consumption in Delhi
    • Ranjan M., Jain V.K. Modelling of electrical energy consumption in Delhi. Energy 1999, 24:351-361.
    • (1999) Energy , vol.24 , pp. 351-361
    • Ranjan, M.1    Jain, V.K.2
  • 32
    • 33748416081 scopus 로고    scopus 로고
    • Residential end-use energy simulation at city scale
    • Shimoda Y., Fujii T., Morikawa T., Mizuno M. Residential end-use energy simulation at city scale. Build Environ 2004, 39:959-967.
    • (2004) Build Environ , vol.39 , pp. 959-967
    • Shimoda, Y.1    Fujii, T.2    Morikawa, T.3    Mizuno, M.4
  • 33
    • 0000905050 scopus 로고
    • 2 emission due to housing construction in Japan
    • 2 emission due to housing construction in Japan. Energy Build 1995, 22:165-169.
    • (1995) Energy Build , vol.22 , pp. 165-169
    • Suzuki, M.1    Oka, T.2    Okada, K.3
  • 34
    • 34250170125 scopus 로고    scopus 로고
    • Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks
    • Tso G.K.F., Yau K.K.W. Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks. Energy 2007, 32:1761-1768.
    • (2007) Energy , vol.32 , pp. 1761-1768
    • Tso, G.K.F.1    Yau, K.K.W.2
  • 35
    • 77955585423 scopus 로고    scopus 로고
    • Adecision tree method for building energy demand modeling
    • Yu Z., Haghighat F., Fung B.C.M., Yoshino H. Adecision tree method for building energy demand modeling. Energy Build 2010, 42:1637-1646.
    • (2010) Energy Build , vol.42 , pp. 1637-1646
    • Yu, Z.1    Haghighat, F.2    Fung, B.C.M.3    Yoshino, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.