Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system
Summary
Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system is a scholarly article[1].
Key Facts
Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-artificial-neural-networks-for-determining-energy-efficient-operating-set-points-of-the-vrf-cooling-syste
MLA“Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-artificial-neural-networks-for-determining-energy-efficient-operating-set-points-of-the-vrf-cooling-syste.
BibTeX@misc{4ortxyz_application-of-artificial-neural-networks-for-determining-energy-efficient-operating-set-points-of-the-vrf-cooling-syste_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-artificial-neural-networks-for-determining-energy-efficient-operating-set-points-of-the-vrf-cooling-syste}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system — https://4ort.xyz/entity/application-of-artificial-neural-networks-for-determining-energy-efficient-operating-set-points-of-the-vrf-cooling-syste (retrieved 2026-05-24)
