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Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
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Metadata
- 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
- FWCI
- 17.23
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- 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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