Home ›
Entities
› academia
› Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach
Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach
Research article (Energy and Buildings, 2024) · cited 12× · AI/ML
Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach
Summary
Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach is a scholarly article[1].
Key Facts
Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-occupant-energy-consumption-in-different-indoor-layout-configurations-using-a-hybrid-agent-based-modeling-and
MLA“Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-occupant-energy-consumption-in-different-indoor-layout-configurations-using-a-hybrid-agent-based-modeling-and.
BibTeX@misc{4ortxyz_predicting-occupant-energy-consumption-in-different-indoor-layout-configurations-using-a-hybrid-agent-based-modeling-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-occupant-energy-consumption-in-different-indoor-layout-configurations-using-a-hybrid-agent-based-modeling-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach — https://4ort.xyz/entity/predicting-occupant-energy-consumption-in-different-indoor-layout-configurations-using-a-hybrid-agent-based-modeling-and (retrieved 2026-05-24)
