Cited by 177Building Energy and Comfort OptimizationBuilding energy efficiency and sustainabilitySustainable Building Design and Assessment

Grading buildings on energy performance using city benchmarking data

Papadopoulos, Sokratis, Kontokosta, Constantine E.·2019·Applied Energy

Integrity signals

Registry

Crossref · 10.1016/j.apenergy.2018.10.053

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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  • Kontokosta and colleagues used ML to predict energy use of New York City's 1.1 million buildings, analyzed energy disclosure effect, and developed a ranking system.

    “Based on energy data disclosed by residents of New York City, Kontokosta and colleagues used various ML methods to predict the energy use of the city's 1.1 million buildings [448], analyzed the effect of energy disclosure on the demand [610], and developed a system for ranking buildings based on energy efficiency [611].”

    From Tackling climate change with machine learning (2023) · cites this paper as [611]

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Authors
Papadopoulos, S., & Kontokosta, C. E.
Affiliations
New York University (US)
Corresponding author
Kontokosta, Constantine E.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2019-01
Volume
233-234
Pages
244-253
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2897784558
Cited by
177
References
49
Citations by year
2026: 19 · 2025: 28 · 2024: 28 · 2023: 17 · 2022: 32 · 2021: 20 · 2020: 22 · 2019: 10 · 2018: 1
FWCI
10.62
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
National Science Foundation (1653772)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Building and Construction › Building energy efficiency and sustainability
  • Physical Sciences › Engineering › Building and Construction › Sustainable Building Design and Assessment
Keywords
energy benchmarking, energy rating, residential buildings, New York City, carbon emission reduction, building energy consumption

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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.

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