Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture
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Seasonal indices extracted via STL decomposition support medium-term planning, while ARIMA models capture short-term autocorrelation patterns suited for hour-ahead dispatch scheduling.
“Seasonal indices extracted via STL decomposition support medium-term planning-e.g., cooling demand in climates with strong summer peaks-while ARIMA models capture short-term autocorrelation patterns suited for hour-ahead dispatch scheduling [35].”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [35]
Attention weights can visualize which historical time-steps the model prioritized, preserving the temporal structure.
“Attention weights can visualize which historical time-steps (e.g., yesterday's peak vs. last week's average) the model prioritized, preserving the temporal structure [17,35].”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [35]
Cites
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
Lim, B., Arık, S. Ö., Loeff, N., & Pfister, T. (2021) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2021.03.012 · Cited by 3,291 · see citing works
Zheng, H., Yuan, J., & Chen, L. (2017) · Energies · doi:10.3390/en10081168 · Cited by 635 · see citing works
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Moveh, S., Merchán-Cruz, E. A., Abuhussain, M., Dodo, Y. A., Alhumaid, S., & Alhamami, A. H. (2025) · Energies · doi:10.3390/en18061468 · Cited by 27 · see citing works
Álvarez-López, C., González-Briones, A., & Li, T. (2026) · Electronics · doi:10.3390/electronics15020385 · Cited by 23 · see citing works
- Authors
- Zheng, P., Zhou, H., Liu, J., & Nakanishi, Y.
- Affiliations
- Waseda University (JP)
- Jeonbuk National University (KR)
- Corresponding author
- Zheng, Peijun
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 349
- Pages
- 121607
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W4385322401
- Cited by
- 118
- References
- 2
- Citations by year
- 2026: 32 · 2025: 50 · 2024: 29 · 2023: 7
- FWCI
- 14.17
- 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, 634 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)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- building energy consumption prediction, short-term forecasting, interpretable forecasting, Temporal Fusion Transformer, spectral clustering, energy decomposition analysis, attention analysis, building energy management, hourly 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.
Statistics and arithmetic are recomputed, not judged.
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