Paper Citation Record · LEDGER

Energy Demand Prediction with Federated Learning for Electric Vehicle Networks

As of 21 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.

pith.paper-citation-record.v1
1909.00907 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:35:55.705130Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:37:15.371619Z

measured 0 of 1 external citation measurements

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.