Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China
Summary
Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China is a scholarly article[1].
Key Facts
Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China'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). Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China. Retrieved May 24, 2026, from https://4ort.xyz/entity/promoting-urban-energy-transitions-lessons-from-interpretable-machine-learning-with-evidence-from-china
MLA“Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/promoting-urban-energy-transitions-lessons-from-interpretable-machine-learning-with-evidence-from-china.
BibTeX@misc{4ortxyz_promoting-urban-energy-transitions-lessons-from-interpretable-machine-learning-with-evidence-from-china_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China}}, year = {2026}, url = {https://4ort.xyz/entity/promoting-urban-energy-transitions-lessons-from-interpretable-machine-learning-with-evidence-from-china}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China — https://4ort.xyz/entity/promoting-urban-energy-transitions-lessons-from-interpretable-machine-learning-with-evidence-from-china (retrieved 2026-05-24)
