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Renovating buildings by modelling energy–CO <sub>2</sub> emissions using particle swarm optimization and artificial neural network (case study: Iran)
Research article (Indoor and Built Environment, 2023) · cited 18× · AI/ML
Renovating buildings by modelling energy–CO 2 emissions using particle swarm optimization and artificial neural network (case study: Iran)
Summary
Renovating buildings by modelling energy–CO 2 emissions using particle swarm optimization and artificial neural network (case study: Iran) is a scholarly article[1].
Key Facts
Renovating buildings by modelling energy–CO 2 emissions using particle swarm optimization and artificial neural network (case study: Iran)'s instance of is recorded as scholarly article[2].
References
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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). Renovating buildings by modelling energy–CO <sub>2</sub> emissions using particle swarm optimization and artificial neural network (case study: Iran). Retrieved May 24, 2026, from https://4ort.xyz/entity/renovating-buildings-by-modelling-energyco-sub-2-sub-emissions-using-particle-swarm-optimization-and-artificial-neural-n
MLA“Renovating buildings by modelling energy–CO <sub>2</sub> emissions using particle swarm optimization and artificial neural network (case study: Iran).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/renovating-buildings-by-modelling-energyco-sub-2-sub-emissions-using-particle-swarm-optimization-and-artificial-neural-n.
BibTeX@misc{4ortxyz_renovating-buildings-by-modelling-energyco-sub-2-sub-emissions-using-particle-swarm-optimization-and-artificial-neural-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Renovating buildings by modelling energy–CO <sub>2</sub> emissions using particle swarm optimization and artificial neural network (case study: Iran)}}, year = {2026}, url = {https://4ort.xyz/entity/renovating-buildings-by-modelling-energyco-sub-2-sub-emissions-using-particle-swarm-optimization-and-artificial-neural-n}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Renovating buildings by modelling energy–CO <sub>2</sub> emissions using particle swarm optimization and artificial neural network (case study: Iran) — https://4ort.xyz/entity/renovating-buildings-by-modelling-energyco-sub-2-sub-emissions-using-particle-swarm-optimization-and-artificial-neural-n (retrieved 2026-05-24)
