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Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development
Research article (Sustainable Cities and Society, 2024) · cited 37× · AI/ML
Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development
Summary
Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development is a scholarly article[1].
Key Facts
Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development's instance of is recorded as scholarly article[2].
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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). Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development. Retrieved May 24, 2026, from https://4ort.xyz/entity/sustainable-energy-transition-in-cities-a-deep-statistical-prediction-model-for-renewable-energy-sources-management-for-
MLA“Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sustainable-energy-transition-in-cities-a-deep-statistical-prediction-model-for-renewable-energy-sources-management-for-.
BibTeX@misc{4ortxyz_sustainable-energy-transition-in-cities-a-deep-statistical-prediction-model-for-renewable-energy-sources-management-for-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development}}, year = {2026}, url = {https://4ort.xyz/entity/sustainable-energy-transition-in-cities-a-deep-statistical-prediction-model-for-renewable-energy-sources-management-for-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development — https://4ort.xyz/entity/sustainable-energy-transition-in-cities-a-deep-statistical-prediction-model-for-renewable-energy-sources-management-for- (retrieved 2026-05-24)
