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Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting

Research article (Energy and Buildings, 2023) · cited 19× · AI/ML
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Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting

Summary

Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting is a scholarly article[1].

Key Facts

  • Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-surrogate-of-physics-based-building-stock-simulator-for-end-use-load-forecasting
MLA “Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-surrogate-of-physics-based-building-stock-simulator-for-end-use-load-forecasting.
BibTeX @misc{4ortxyz_machine-learning-surrogate-of-physics-based-building-stock-simulator-for-end-use-load-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-surrogate-of-physics-based-building-stock-simulator-for-end-use-load-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning surrogate of physics-based building-stock simulator for end-use load forecasting — https://4ort.xyz/entity/machine-learning-surrogate-of-physics-based-building-stock-simulator-for-end-use-load-forecasting (retrieved 2026-05-24)

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