Cited by 195Building Energy and Comfort OptimizationSmart Grid Energy ManagementIntegrated Energy Systems Optimization

Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

Open access
Vázquez-Canteli, José R., Ulyanin, Stepan, Kämpf, Jérôme, Nagy, Zoltán·2019·Sustainable Cities and Society

Integrity signals

Registry

Crossref · 10.1016/j.scs.2018.11.021

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

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Authors
Vázquez-Canteli, J. R., Ulyanin, S., Kämpf, J., & Nagy, Z.
Affiliations
  • National Laboratory of the Rockies (US)
  • Georgia Institute of Technology (US)
  • Idiap Research Institute (CH)
  • The University of Texas at Austin (US)
Corresponding author
Nagy, Zoltán
Venue
Sustainable Cities and Society
Publisher
Elsevier BV
Published
2019-02
Volume
45
Pages
243-257
ISSN
2210-6707 (ISSN-L)
OpenAlex
W2900981450
Cited by
195
References
33
Citations by year
2026: 7 · 2025: 12 · 2024: 26 · 2023: 31 · 2022: 33 · 2021: 34 · 2020: 35 · 2019: 16 · 2018: 1
FWCI
17.23
Type
journal article
Language
en
Open access
Locations
  • Sustainable Cities and Society (publishedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Keywords
building energy simulation, TensorFlow, Keras, CitySim, deep reinforcement learning, building energy management, demand response, energy conservation, smart cities, building energy standards

About these checks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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