Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:55:25.541610Z
Paper Citation Record · LEDGER
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas
As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.10531.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation de91389d-a4c7-4b94-a4bb-c3c8cf1f5044 · outbound
This paper cites An econometric study of the impact of economic growth and energy use on carbon emissions: panel data evidence from fifty eight countries.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas An econometric study of the impact of economic growth and energy use on carbon emissions: panel data evidence from fifty eight countries
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.807264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d92bc25a-af07-40ea-bd68-61ff0230f00b · outbound
This paper cites Environmental impacts and behavioral drivers of deep decarbonization for transportation through electric vehicles.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Environmental impacts and behavioral drivers of deep decarbonization for transportation through electric vehicles
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.794238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d98039b8-4822-4630-b612-496fe9c5d6ef · outbound
This paper cites Long-term implications of electric vehicle penetration in urban decarbonization scenarios: An integrated land use–transport–energy model.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Long-term implications of electric vehicle penetration in urban decarbonization scenarios: An integrated land use–transport–energy model
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.781346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2e750819-d9de-4d2d-973d-40f124fc2467 · outbound
This paper cites Multi-objective distribution planning approach for optimal network investment with ev charging control.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Multi-objective distribution planning approach for optimal network investment with ev charging control
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.767452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 97785516-0d78-42b0-ba1e-086f41857a23 · outbound
This paper cites Joint expansion planning of distribution networks, ev charging stations and wind power generation under uncertainty.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Joint expansion planning of distribution networks, ev charging stations and wind power generation under uncertainty
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.749031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1c3ce7f7-d6d9-4af4-84e6-a02ca0f4b75e · outbound
This paper cites Challenges, solutions and future trends in ev-technology: A review.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Challenges, solutions and future trends in ev-technology: A review
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.732292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7fc85d40-7630-4b07-9dcb-1654a7779697 · outbound
This paper cites A comprehensive study of key electric vehicle (ev) components, technologies, challenges, impacts, and future direction of development.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas A comprehensive study of key electric vehicle (ev) components, technologies, challenges, impacts, and future direction of development
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.713348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8597894c-cc0f-4f29-ba46-e32395c753cf · outbound
This paper cites Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.697284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0049b88f-4146-4907-a961-b99ebbe865ef · outbound
This paper cites Factors influencing the economics of public charging infrastructures for EV–A review.Renewable and Sustainable Energy Reviews, 94:500–509, 2018.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Factors influencing the economics of public charging infrastructures for EV–A review.Renewable and Sustainable Energy Reviews, 94:500–509, 2018
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.682398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f7fbffcc-ae87-48ee-b449-8e8191f6c3c2 · outbound
This paper cites Big data analytics in smart grids: state-of-the-art, challenges, opportunities, and future directions.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Big data analytics in smart grids: state-of-the-art, challenges, opportunities, and future directions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.661004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f4e1f09a-3f49-4a32-8992-1a08e54ef576 · outbound
This paper cites Big energy data management for smart grids—issues, challenges and recent developments.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Big energy data management for smart grids—issues, challenges and recent developments
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.638844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 86eab970-a84c-48cc-ae40-289812e2129e · outbound
This paper cites Charging strategies to minimize the peak load for an electric vehicle fleet.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Charging strategies to minimize the peak load for an electric vehicle fleet
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.625648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3cdd9c7c-58d5-455e-9255-1875d8a7fb63 · outbound
This paper cites Stochastic-based optimal charging strategy for plug-in electric vehicles aggregator under incentive and regulatory policies of dso.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Stochastic-based optimal charging strategy for plug-in electric vehicles aggregator under incentive and regulatory policies of dso
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.609761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 50730544-258b-424a-8451-8356dfb13beb · outbound
This paper cites Základní sídelní jednotky - polygony, 2024.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Základní sídelní jednotky - polygony, 2024
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.595274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ec26fa2e-246c-48c9-a139-2ab87eb9a294 · outbound
This paper cites Ve ˇrejné dobíjení | PRE, 2024.
Towards Using Machine Learning to Generatively Simulate EV Charging in Urban Areas Ve ˇrejné dobíjení | PRE, 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:55:25.579274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
No inbound Pith citation observations are available.