Multiple regression models to predict the annual energy consumption in the Spanish banking sector

Energy and Buildings

Volumn 49, Issue , 2012, Pages 380-387

  Aranda, Alfonso ^a   Ferreira, Germán ^a   Mainar Toledo, M D ^a   Scarpellini, Sabina ^a   Llera Sastresa, Eva ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

Banking sector; Energy consumption prediction; Multiple regression model

Indexed keywords

BANKING SECTORS; DETERMINATION COEFFICIENTS; ENERGY CONSUMPTION PREDICTION; IN-SITU; INDEPENDENT VARIABLES; MULTIPLE REGRESSION MODEL; POWER MODEL; TEST DATA; THREE MODELS;

ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; FORECASTING; REGRESSION ANALYSIS;

CLIMATE MODELS;

EID: 84861822310     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2012.02.040     Document Type: Article

References (32)

1. E. Commission, Key Figures (2011), http://ec.europa.eu/energy/ observatory/eu-27-info/doc/key-figures.pdf.
2. D.L.M.P. Capros, N. Tasios, A. De Vita, and N. Kouvaritakis (E3M-Lab) EU Energy Trends to 2030 - Update 2009 2010 European Commission Belgium
3. IDAE, Energy Efficiency Policies and Measures in Spain T.y.C. Gobierno de España, Ministerio de Industria Monitoring of Energy Efficiency in EU 27, Norway and Croatia 2009 Intelligent Energy Europe Odysee-Mure
4. 2 Emissions by Sector. Extended time series (2010), http://ec.europa.eu/energy/publications/ doc/statistics/ext-co2-emissions-by-sector.pdf.
5. Mure-Odyssee, Energy Efficiency Profile: Spain (2011), http://www.odyssee-indicators.org/publications/country-profiles-PDF/esp.pdf.
6. S. Chen, N. Li, and J. Guan Research on statistical methodology to investigate energy consumption in public buildings sector in China Energy Conversion and Management 49 8 2008 2152 2159
7. I. Ward, A. Ogbonna, and H. Altan Sector review of UK higher education energy consumption Energy Policy 36 8 2008 2939 2949
8. S. Becken, C. Frampton, and D. Simmons Energy consumption patterns in the accommodation sector - the New Zealand case Ecological Economics 39 3 2001 371 386 (Pubitemid 34029852)
9. T.N.T. Lam, K.K.W. Wan, S.L. Wong, and J.C. Lam Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong Applied Energy 87 7 2010 2321 2327
10. A. Salem Szklo, J. Borghetti Soares, and M.c. Tiomno Tolmasquim Energy consumption indicators and CHP technical potential in the Brazilian hospital sector Energy Conversion and Management 45 13-14 2004 2075 2091
11. O.A. Nekrasova An energy consumption forecast for the Soviet residential and commercial sector Energy Economics 13 1 1991 10 18
12. J.O. Jaber, and S.D. Probert Purchased-energy consumptions in Jordan's commercial and public-service sector Applied Energy 71 1 2002 31 43 (Pubitemid 34068055)
13. N. Mairet, and F. Decellas Determinants of energy demand in the French service sector: a decomposition analysis Energy Policy 37 7 2009 2734 2744
14. G.N. Spyropoulos, and C.A. Balaras Energy consumption and the potential of energy savings in Hellenic office buildings used as bank branches - a case study Energy and Buildings 43 4 2011 770 778
15. S.E. Chidiac, E.J.C. Catania, E. Morofsky, and S. Foo A screening methodology for implementing cost effective energy retrofit measures in Canadian office buildings Energy and Buildings 43 2-3 2011 614 620
16. J.C. Lam, K.K.W. Wan, D. Liu, and C.L. Tsang Multiple regression models for energy use in air-conditioned office buildings in different climates Energy Conversion and Management 51 12 2010 2692 2697
17. T. Catalina, J. Virgone, and E. Blanco Development and validation of regression models to predict monthly heating demand for residential buildings Energy and Buildings 40 10 2008 1825 1832
18. G.K.F. Tso, and K.K.W. Yau Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks Energy 32 9 2007 1761 1768 (Pubitemid 46898687)
19. A.F. Tzikopoulos, M.C. Karatza, and J.A. Paravantis Modeling energy efficiency of bioclimatic buildings Energy and Buildings 37 5 2005 529 544 (Pubitemid 40183475)
20. A.S.H.S. Chatterjee, and B. Price Regression Analysis by Example third ed. 2000 John Wiley New York
21. D. Peña Regresión y Diseño de Experimentos 2002 Alianza Universidad Textos Madrid
22. G.C.R.D.C. Montgomery Probabilidad y Estadística Aplicadas a la Ingeniería second ed. 2004 Limusa Wiley Mexico D.F.
23. H.S.N.R. Draper Applied Regression Analysis third ed. 1998 Wiley New York
24. M.H.K.J. Neter, C.J. Nachtsheim, and W. Wasserman Applied Linear Statistical Models fourth ed. 1996 WBC/McGraw-Hill Chicago
25. M. Inc., Minitab 15.1.30.0. The Fully Functional Demo Version (2007).
26. S. Inc., SPSS Statistics 17.0. Release 17.0.0 (2008).
27. L.M.A.P. Grima, and J. Tort-Martorell Llabrés Estadística Práctica con Minitab 2004 Prentice Hall Universitat Politecnica de Catalunya
28. Q. Shao, and Y. Wu A consistent procedure for determining the number of clusters in regression clustering Journal of Statistical Planning and Inference 135 2 2005 461 476 (Pubitemid 41235783)
29. C. Smyth, D. Coomans, Y. Everingham, and T. Hancock Auto-associative multivariate regression trees for cluster analysis Chemometrics and Intelligent Laboratory Systems 80 1 2006 120 129 (Pubitemid 43052344)
30. J. Gravier, V. Vignal, S. Bissey-Breton, and J. Farre The use of linear regression methods and Pearson's correlation matrix to identify mechanical-physical-chemical parameters controlling the micro-electrochemical behaviour of machined copper Corrosion Science 50 10 2008 2885 2894
31. S.J. Steel, and D.W. Uys Influential data cases when the Cp criterion is used for variable selection in multiple linear regression Computational Statistics & Data Analysis 50 7 2006 1840 1854 (Pubitemid 43052358)
32. R. Kan, and X. Wang On the distribution of the sample autocorrelation coefficients Journal of Econometrics 154 2 2010 101 121