Cited by 223Building Energy and Comfort OptimizationIntegrated Energy Systems OptimizationUrban Heat Island Mitigation

Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow

Open access
Nutkiewicz, Alex, Yang, Zheng, Jain, Rishee K.·2018·Applied Energy

Integrity signals

Registry

Crossref · 10.1016/j.apenergy.2018.05.023

Cites

77 of 77 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Nutkiewicz et al. used deep neural networks for hybrid ML-physical modeling to provide precise energy demand forecasts for all buildings on a campus.

    “Using deep neural networks for hybrid ML-physical modelling, Nutkiewicz et al. provided precise energy demand forecasts that account for inter-building energy dynamics and urban microclimate factors for all buildings on a campus [589].”

    From Tackling climate change with machine learning (2023) · cites this paper as [589]

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Authors
Nutkiewicz, A., Yang, Z., & Jain, R. K.
Affiliations
Stanford University (US)
Corresponding author
Jain, Rishee K.
Venue
Applied Energy
Publisher
Elsevier BV
Published
2018-09
Volume
225
Pages
1176-1189
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2806066720
Cited by
223
References
76
Citations by year
2026: 23 · 2025: 24 · 2024: 36 · 2023: 37 · 2022: 28 · 2021: 34 · 2020: 28 · 2019: 11 · 2018: 2
FWCI
15.02
Type
journal article
Language
en
Open access
Locations
  • Applied Energy (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • UPS Foundation
  • Center for Integrated Facility Engineering
  • Terman Faculty Fellowship
  • US National Science Foundation (1461549, 1642315)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
Keywords
building energy simulation, machine learning, ResNet, urban microclimate, university buildings, urban sustainability

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.

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