Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:35:55.705130Z
Paper Citation Record · LEDGER
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:1909.00907.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:37:15.371619Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T05:37:15.892877Z
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy17
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b1daa4f2-f7d7-4f10-a786-5ea464c8feae · outbound
This paper cites Available Online: https://www.cnbc.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Available Online: https://www.cnbc
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.946353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5fb6ee2-adc5-40b1-9828-7516fe6996fe · outbound
This paper cites Online coordinated charging decision algorithm for electric vehicles without future information,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Online coordinated charging decision algorithm for electric vehicles without future information,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.934664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 65b3cdd6-6301-4bc7-b539-2bf5100cf0a4 · outbound
This paper cites Integration of electric vehicles in the electric power system,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Integration of electric vehicles in the electric power system,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.922331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4e072f6-ddab-439e-9fd2-750ae66040d5 · outbound
This paper cites Efficient optimal scheduling of charging station with multiple electric vehicles via V2V ,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Efficient optimal scheduling of charging station with multiple electric vehicles via V2V ,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.910591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bcef22f-9518-4bdf-867a-a7e335806ff0 · outbound
This paper cites Fast prediction for sparse time series: demand forecast of EV charging stations for cell phone applications,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Fast prediction for sparse time series: demand forecast of EV charging stations for cell phone applications,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.900168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff8ecb59-c2f0-4dc0-a1ad-5ac3eb56a216 · outbound
This paper cites Reinforcement learning-based plug-in electric vehicle charging with forecasted price,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Reinforcement learning-based plug-in electric vehicle charging with forecasted price,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.889182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 86e44817-e82a-4bbf-aea9-a8b06a6ec5ad · outbound
This paper cites Prediction of energy consumption for new electric vehicle models by machine learning,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Prediction of energy consumption for new electric vehicle models by machine learning,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.878184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3dcbecd-0681-4599-a834-8772ea0a204f · outbound
This paper cites Distributed charging control of elec- tric vehicles using online learning,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Distributed charging control of elec- tric vehicles using online learning,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.866388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4296fccf-9a4f-4e93-8125-1bb02474d3e7 · outbound
This paper cites Demand-side management using deep learning for smart charging of electric vehicles,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Demand-side management using deep learning for smart charging of electric vehicles,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.855536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34f8f7da-9272-4d5d-9588-2f32a8718bde · outbound
This paper cites Optimal locations of US fast charging stations for long-distance trip completion by battery electric vehicles,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Optimal locations of US fast charging stations for long-distance trip completion by battery electric vehicles,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.844663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cee19cdd-dddb-4a24-9087-780edb8111c4 · outbound
This paper cites Li, et al., ”Implemented IoT-based self-learning home management system (SHMS) for Singapore,” IEEE Internet of Things Journal , vol.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Li, et al., ”Implemented IoT-based self-learning home management system (SHMS) for Singapore,” IEEE Internet of Things Journal , vol
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.832795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de11c620-efa1-4f4d-8953-6cd2601c3d8b · outbound
This paper cites Available Online: https: //data.dundeecity.gov.uk/dataset/ev-charging-data.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Available Online: https: //data.dundeecity.gov.uk/dataset/ev-charging-data
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.820467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 94127239-c9e8-4884-a35a-31971b93ac6b · outbound
This paper cites Regulatory framework and business models for charging plug-in electric vehicles: infrastructure, agents, and commer- cial relationships,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Regulatory framework and business models for charging plug-in electric vehicles: infrastructure, agents, and commer- cial relationships,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.808015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b531917-75f7-4a4a-840f-f8eb7f5aa11a · outbound
This paper cites Deep Learning in Mobile and Wireless Networking: A Survey.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Deep Learning in Mobile and Wireless Networking: A Survey
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T05:35:55.743363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f210427f-c110-4ba7-b556-3000b699957f · outbound
This paper cites Adam: a method for stochastic optimization,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Adam: a method for stochastic optimization,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.794458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c8ce1bea-6b87-4523-95a1-bb60d9e2420e · outbound
This paper cites Large scale distributed deep networks,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Large scale distributed deep networks,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.782545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 785206c7-ef9f-4050-a066-4e3c6e83ba67 · outbound
This paper cites Constrained K-means clustering,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks Constrained K-means clustering,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.769207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0220a56f-b0fe-4d8d-97f9-f98bcd4f292c · outbound
This paper cites A comprehensive survey on machine learning for networking: evolution, applications and research opportunities,.
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks A comprehensive survey on machine learning for networking: evolution, applications and research opportunities,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:55.755968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
Observation 6bc66ed5-0c53-428d-82b9-1a2b9645d835 · inbound
FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting cites this paper.
FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T05:37:15.899493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.