The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles
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Citations
Cites
The energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
Landsberg, H. E. (2011) · Cited by 1,118
Impact of anthropogenic heat on urban climate in Tokyo
Ichinose, T., Shimodozono, K., & Hanaki, K. (1999) · Atmospheric Environment · doi:10.1016/s1352-2310(99)00132-6 · Cited by 586
Sailor, D. J., & Lu, L. (2004) · Atmospheric Environment · doi:10.1016/j.atmosenv.2004.01.034 · Cited by 534
Self-citationResidential Energy Consumption Survey (2016)
Liao, H. (2019) · Harvard Dataverse · doi:10.7910/dvn/agbpxs · Cited by 415
Kikegawa, Y., Genchi, Y., Kondo, H., & Hanaki, K. (2006) · Applied Energy · doi:10.1016/j.apenergy.2005.06.001 · Cited by 228
Huang, Y. J., & Brodrick, J. (2000) · University of North Texas Digital Library (University of North Texas) · Cited by 59
Time-varying energy consumption as a factor in urban climate
Torrance, K. E., & Shun, J. S. W. (1976) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(76)90174-8 · Cited by 56
Lab., C. (. S. L. B., Akbari, H., California Inst. for Energy Efficiency, B., California Energy Resources Conservation and Development Commission, S., Eto, J. H., Konopacki, S., Afzal, A., Heinemeier, K., & Rainer, L. (1993) · doi:10.2172/10140911 · Cited by 13
Cited by
Urban building energy modeling – A review of a nascent field
Reinhart, C. F., & Cerezo Davila, C. (2016) · Building and Environment · doi:10.1016/j.buildenv.2015.12.001 · Cited by 1,081
Sailor, D. J. (2011) · International Journal of Climatology · doi:10.1002/joc.2106 · Cited by 527
Self-citationSpatial distribution of urban building energy consumption by end use
Howard, B., Parshall, L., Thompson, J., Hammer, S., Dickinson, J., & Modi, V. (2012) · Energy and Buildings · doi:10.1016/j.enbuild.2011.10.061 · Cited by 428
Salamanca, F., Martilli, A., Tewari, M., & Chen, F. (2011) · Journal of Applied Meteorology and Climatology · doi:10.1175/2010jamc2538.1 · Cited by 332
A data-driven predictive model of city-scale energy use in buildings
Kontokosta, C. E., & Tull, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.04.005 · Cited by 288
Metadata
- Authors
- Heiple, S., & Sailor, D. J.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 40
- Issue
- 8
- Pages
- 1426-1436
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2070993393
- Cited by
- 323
- References
- 9
- FWCI
- 23.12
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles. https://app.cochat.ai/papers/10.1016/j.enbuild.2008.01.005
- The paper
- Heiple, S., & Sailor, D. J. (2008). Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2008.01.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
