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
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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
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 127 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- 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
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