Home ›
Entities
› academia
› Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands
Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands
Research article (Applied Energy, 2017) · cited 69× · AI/ML
Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands
Summary
Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands is a scholarly article[1].
Key Facts
Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands'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). Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-energy-and-control-efficiencies-of-fuzzy-logic-and-artificial-neural-network-technologies-in-the-heating-ene
MLA“Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-energy-and-control-efficiencies-of-fuzzy-logic-and-artificial-neural-network-technologies-in-the-heating-ene.
BibTeX@misc{4ortxyz_analysis-of-energy-and-control-efficiencies-of-fuzzy-logic-and-artificial-neural-network-technologies-in-the-heating-ene_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-energy-and-control-efficiencies-of-fuzzy-logic-and-artificial-neural-network-technologies-in-the-heating-ene}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysis of energy and control efficiencies of fuzzy logic and artificial neural network technologies in the heating energy supply system responding to the changes of user demands — https://4ort.xyz/entity/analysis-of-energy-and-control-efficiencies-of-fuzzy-logic-and-artificial-neural-network-technologies-in-the-heating-ene (retrieved 2026-05-24)