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Cited by 630

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Regression analysis for prediction of residential energy consumption

Fumo, Nelson, Rafe Biswas, M.A.·2015·Renewable and Sustainable Energy Reviews

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Citations

Cites

Show all 30 references

Research works printed but not linked: 14

  1. Krüger, 2004, Predicting thermal performance in occupied dwellings, Energy Build, 36, 301, 10.1016/j.enbuild.2003.12.011 · doi:10.1016/j.enbuild.2003.12.011
  2. Zhu, 2013, Simplified analysis methods for thermal responsive performance of passive solar house in cold area of China, Energy Build, 67, 445, 10.1016/j.enbuild.2013.07.038 · doi:10.1016/j.enbuild.2013.07.038
  3. Olofsson Thomas, Sjögren Jan-Ulric, Andersson Staffan.Energy performance of buildings evaluated with multivariate analysis. In: Proceedings of the ninth international IBPSA conference. Montréal, Canada; August 15–18, 2005.
  4. Rabl, 1992, Energy signature models for commercial buildings: test with measured data and interpretation, Energy Build, 19, 143, 10.1016/0378-7788(92)90008-5 · doi:10.1016/0378-7788(92)90008-5
  5. Belussi, 2012, Method for the prediction of malfunctions of buildings through real energy consumption analysis: holistic and multidisciplinary approach of energy signature, Energy Build, 55, 715, 10.1016/j.enbuild.2012.09.003 · DOI
  6. Yu, 2005, Energy signatures for assessing the energy performance of chillers, Energy Build, 37, 739, 10.1016/j.enbuild.2004.10.004 · doi:10.1016/j.enbuild.2004.10.004
  7. Westergren, 1999, Monitoring energy consumption in single-family houses, Energy Build, 29, 247, 10.1016/S0378-7788(98)00065-6 · doi:10.1016/s0378-7788(98)00065-6
  8. Bartels, 1996, Metering and modeling residential end-use electricity load curves, J. Forecast, 15, 415, 10.1002/(SICI)1099-131X(199611)15:6<415::AID-FOR636>3.0.CO;2-J · doi:10.1002/(sici)1099-131x(199611)15:6<415::aid-for636>3.0.co;2-j
  9. Aigner, 1984, Conditional demand analysis for estimating residential end-use profiles, Energy J, 5, 81, 10.5547/ISSN0195-6574-EJ-Vol5-No3-6 · doi:10.5547/issn0195-6574-ej-vol5-no3-6
  10. Lafrance, 1994, Evolution of residential electricity demand by end-use in Quebec 1979–1989: a conditional demand analysis, Energy Stud Rev, 6, 164, 10.15173/esr.v6i2.334 · doi:10.15173/esr.v6i2.334
  11. Newshamn, 2013, A model of residential energy end-use in Canada: using conditional demand analysis to suggest policy options for community energy planners, Energy Policy, 59, 133, 10.1016/j.enpol.2013.02.030 · doi:10.1016/j.enpol.2013.02.030
  12. Soldo, 2014, Improving the residential natural gas consumption forecasting models by using solar radiation, Energy Build, 69, 498, 10.1016/j.enbuild.2013.11.032 · doi:10.1016/j.enbuild.2013.11.032
  13. Elsawaf, 2012, Evaluation of heat pumps usage and energy savings in residential buildings, Int J Energy Environ, 3, 399
  14. Nie, 2014, Index decomposition analysis of residential energy consumption in China: 2002–2010, Appl Energy, 121, 10, 10.1016/j.apenergy.2014.01.070 · doi:10.1016/j.apenergy.2014.01.070

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Metadata

Authors
Fumo, N., & Rafe Biswas, M. A.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2015-07
Volume
47
Pages
332-343
ISSN
1364-0321 (ISSN-L)
OpenAlex
W1991277158
Cited by
630
References
30
FWCI
49.14
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Regression analysis for prediction of residential energy consumption. https://app.cochat.ai/papers/10.1016/j.rser.2015.03.035
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Fumo, N., & Rafe Biswas, M. A. (2015). Regression analysis for prediction of residential energy consumption. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2015.03.035

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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