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Paper Citation Record · LEDGER

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework

As of 17 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2501.00107.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.00107 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:04:09.478618Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecc7217f-43fb-47cc-a861-988238ac5d6f · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9d9567d2-a51a-401d-9de6-6e4f1a20cc5c · outbound

This paper cites Alkuwari, S.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Alkuwari, S

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 22d75659-1371-40d6-96a7-f9f535c3c2a2 · outbound

This paper cites Chatterjee, B.S.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Chatterjee, B.S

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b1aea6e4-a7a9-45ce-9a0a-4c460b3c030c · outbound

This paper cites Khalil, F.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Khalil, F

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4d9d42c4-58ac-4f31-95e7-a85144a55602 · outbound

This paper cites Hilal, S.A.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Hilal, S.A

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ec2e342-4a5e-4163-96ec-d3f7bca59924 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e5240919-a760-4d7f-b8da-e85b45fc9270 · outbound

This paper cites Singh and K.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Singh and K

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d35b3221-292a-4fba-8cce-2755bd9ebac1 · outbound

This paper cites Time Series Anomaly Detection with label-free Model Selection.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Time Series Anomaly Detection with label-free Model Selection

Reference 8

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 39efd1f1-4ebc-4297-a472-e4adf13f0fb7 · outbound

This paper cites Barnett and T.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Barnett and T

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 04a86c27-d671-47a1-8b2b-3f45e816b830 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b47ceb0d-1a17-45f6-9d8b-bfd11cea321b · outbound

This paper cites Gunduz and A.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Gunduz and A

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7659dc24-97c8-4de8-94c3-233dd20d5158 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a4520df9-f855-424d-a5fe-d20e02eeb63d · outbound

This paper cites Ghanim, M.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Ghanim, M

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 21cdf5e8-a0d7-4012-8e16-a7c9545d7873 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-10T23:04:10.550502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 579d122a-7ec4-40dc-aa31-68e66197055e · outbound

This paper cites Akcay, A.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Akcay, A

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.182008Z digest=sha256:fe08ed55b2b7053431c31960374ccfce5ddfef400dce30235e7d777935f98ce8

Observation 76170d5d-841a-4460-a0dc-a1c8874b6065 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.186554Z digest=sha256:c8c49ab44a23f12e076150c481919a8cb4f75a3dc884a21615fe935059d305a6

Observation 356f6c98-1e8b-47d6-bd73-f2d86369651f · outbound

This paper cites Chandola, A.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Chandola, A

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7e76b02a-6ae1-48d5-a7ab-4dbd6e361bd9 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-10T23:04:10.464036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a46ed5e9-4473-4b11-bc76-613e99c1c61d · outbound

This paper cites Sutton and A.G.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Sutton and A.G

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 283f0c77-db3c-4dde-8ec7-27891e865205 · outbound

This paper cites Kosana, K.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Kosana, K

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9f8e811b-caeb-41c8-85bd-bf8c5e3c1bd8 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 47228c14-4119-4674-a6c6-fa7635f1c55c · outbound

This paper cites Christophe, J.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Christophe, J

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7b9528f9-5ab5-41d8-b00b-c59c9e6fd7c3 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d4282e64-c6ca-4192-8ba4-edb2b8010026 · outbound

This paper cites Philosophical Transactions of the Royal Soci- ety A, 379(2194), 2021, 20200209.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Philosophical Transactions of the Royal Soci- ety A, 379(2194), 2021, 20200209

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1cd884bb-c917-4b94-803b-3aff7cb1a374 · outbound

This paper cites Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:09.240379Z digest=sha256:4d4e10aa535dfeff96b207adea313f6c5b5bfeaa6393580f727d798251a21171

Observation 823b1665-ca36-4732-bcfc-7659ed59a7d8 · outbound

This paper cites Aggarwal, Outlier Analysis, Springer In- ternational Publishing, 2016.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Aggarwal, Outlier Analysis, Springer In- ternational Publishing, 2016

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0612150a-d6c7-46fe-8af7-65532120699c · outbound

This paper cites G ¨ornitz, M.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework G ¨ornitz, M

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f7eb6a52-5177-43cf-9be2-54d236c94b31 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2ca30824-e3d1-46b2-afaf-61996dd382f1 · outbound

This paper cites Sindhwani, P.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Sindhwani, P

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1cd76f16-14e8-425e-a9aa-b730d5b08837 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 58234899-d70b-43a4-bfba-a589fa2561d6 · outbound

This paper cites Ramaswamy, R.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Ramaswamy, R

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d7455298-3a6e-4e4b-a7b5-720d64c9818e · outbound

This paper cites Angiulli and C.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Angiulli and C

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c3a70b51-bd35-4088-be13-05efeb6d97fb · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-10T23:04:10.214380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5ef2b7de-49a1-448d-ac3f-a3a69858dab5 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5b8a8fd1-dd16-4854-b0d0-133fa5225b96 · outbound

This paper cites Xiong, X.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Xiong, X

Reference 35

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e319aec7-7b9e-467d-a4f3-d8d7ecb177dd · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-10T23:04:10.162744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63439ef2-9594-4266-8756-a398cfce490f · outbound

This paper cites G ¨ornitz, M.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework G ¨ornitz, M

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.142145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.314202Z digest=sha256:91b2d670b77e0343194491cc9bf2fa8ee1ad18cb7721205a4dadc64761fcd6eb

Observation 08427d3a-9f3f-4b24-b42b-00adc0be9996 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.125695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.319411Z digest=sha256:ffac3bd518a798cd9d20fe88cd7ad192d33f4983398f5fee88eea9aa5d421e5b

Observation e5d2206e-a359-4b72-8046-5bb6b65576f7 · outbound

This paper cites Awad, and R.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Awad, and R

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.105734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.324372Z digest=sha256:bbb729ae5d4f656a05f50b14aebd3faf7080bec2f8819daadaffda0120b1d05d

Observation d8eda559-889d-425a-a566-48204dcebef8 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.083997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.330466Z digest=sha256:215fed9057ca63608c306aab79d9dbe4329049fd2cc7f857aaa4b2aa915f38d7

Observation 0e18f738-82e7-4a3d-b7fb-ffdd20e3bed6 · outbound

This paper cites Sch ¨olkopf, J.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Sch ¨olkopf, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.061755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.335532Z digest=sha256:a92ef35bf2859bea3ab9cf8f206778a58c43e2a1a48e540ce85dc3165319ff71

Observation d92139ee-ba28-45d4-a619-ff98ce8b8c37 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.040291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.341431Z digest=sha256:f16a8f2d0dbc1f8d4e43bacb4cbbec235dc54fdf4e905f27bfa576d2e7b21585

Observation a5425284-c312-4900-a813-c6f59cd0d4ac · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.016685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.346398Z digest=sha256:9f5fa451764d0c5990152e728210f8f3ac098197c1438818b0f526fa99e99e1b

Observation d3b03e21-2cfe-48ff-8fe2-088c7fe35b05 · outbound

This paper cites Kharitonov, A.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Kharitonov, A

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.996306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.351262Z digest=sha256:fb58285a547e49a7af6e5dee8a40efa48e601ca13cc49c164c92dbeee7f2338f

Observation 6ab7b07f-5176-47dc-82a7-2be9f37d7d6b · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.977053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.356338Z digest=sha256:79d24be3db0108f8d96556273c2fd9effbcf04ef94cd6faf7c4ba78c0a67209d

Observation d15a63ca-2c65-44d5-a738-b924145d03bb · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.958342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.361536Z digest=sha256:78fcb78f37ac7586f1443d9f9b9bc86b8cb09d562397be087d2039dec6e03b1e

Observation b5c1068a-8dcd-4ba8-84d5-92d528ae22e8 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.940605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.366530Z digest=sha256:b4164a8a3ecf7360a62cb12218b4e0884c4d81a96e9a0a42567ef07e3a6c8a42

Observation 2b113151-6725-48c1-ab7e-a892d05caa42 · outbound

This paper cites Hoffmann, Kernel PCA for Novelty Detec- tion, Pattern Recognition, 40(3), 2007, 863– 874.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Hoffmann, Kernel PCA for Novelty Detec- tion, Pattern Recognition, 40(3), 2007, 863– 874

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.923799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.371327Z digest=sha256:7c82fb5cbe3d2f97ab6e97a498452da7cfd54e40f015330dc5f2625451417a48

Observation 9d633d68-f587-4778-92fb-c311555f83b0 · outbound

This paper cites LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:09.375767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:09.375767Z digest=sha256:fe718873b69ee8414d6dc99c9a285c73126fd540f64219db6c051008fa21fdc3

Observation 3ffe0dbf-769d-4c1d-b36e-ac4209c4119c · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.907315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.381225Z digest=sha256:5ca12a2c54b50be3930b28d70187e12a3e2d9614bf99361d8682093f3ce8ce60

Observation 9ad118b8-a176-4136-8fb8-a81c3553802e · outbound

This paper cites Hochreiter and J.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Hochreiter and J

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.890849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.385917Z digest=sha256:eacaa55bf4f4b2e3532c17b7255ee20d489a4e5c2261f059ce05ba3f2dce241e

Observation 5ea4fdc4-6c8b-424a-ba8b-8368c52e2b11 · outbound

This paper cites El Zini, Y.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework El Zini, Y

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.874245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.389947Z digest=sha256:dfa33b41a88ef897e6933418f92859703c6ff22e385860c2539d5513bb5bb99e

Observation a019ec30-45ac-41c0-9bbd-87204be8fc4a · outbound

This paper cites Audibert, P.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Audibert, P

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.858548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.394436Z digest=sha256:fa7c91f9c510aba8add7914581160d7cd415cb7b3985d2887b9f0542f8f7201d

Observation 2ea8ee23-1e18-41d3-b507-23fb4c15b95b · outbound

This paper cites Comparing BERT against traditional machine learning text classification.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Comparing BERT against traditional machine learning text classification

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:09.398615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:09.398615Z digest=sha256:bf0ddde1eabf6b2f9e46e49788b7d5c2607da6d95f1443bf1e2d08242c88b06e

Observation 088ff5ce-93cf-48e0-b50f-39dc3356f25b · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.842181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d08324d2-61a8-4444-b211-ba5265bce635 · outbound

This paper cites Can LLMs Serve As Time Series Anomaly Detectors?.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Can LLMs Serve As Time Series Anomaly Detectors?

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:09.407252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:09.407252Z digest=sha256:ea52ca55187002828097b338f2c748ac0fdaa48d52c5bf0d3ff01a75b768f219

Observation bb35a399-f7c7-4b48-b53e-3b94544cc4dc · outbound

This paper cites Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:09.412067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:09.412067Z digest=sha256:890b44f32238cacbc4d7c34803c6949bbeca356d804cb07742b23b00a5dcc80b

Observation 9a0bcd5b-cb3d-4805-828e-c437d9224d66 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.826897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.417273Z digest=sha256:f24eaca70dc096b840abf70fbc27e5efeae3a4da52f2b0467d0c3105e53d330a

Observation afd87cbb-0f28-4fcb-a322-fc25ccea7346 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.810887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.422140Z digest=sha256:d12521670200c97657cb968ee4aab674afc7f6739c92e2baa8008aed24a3e8b5

Observation 22d2aa2e-4dd5-4346-93c2-25dd70a5171d · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.793984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.427065Z digest=sha256:b5453587004d73abbb5506e887d62625bf97f154ce4cafaefb3949c15c5c7ad3

Observation 9f2dea59-910c-45cd-8b82-52ab089c93ee · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.773984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.436470Z digest=sha256:8ff3d789d0111047320b8bcd3b12aa9360adb08493091a6c90b6dc5dce79dd5b

Observation e4d205c9-e761-4b44-b5f6-701e62924f32 · outbound

This paper cites Gulati and P.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Gulati and P

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.757826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.441969Z digest=sha256:cfb471b2da3bebd61cb287a4593449927353811b1039444bd4dad44176b43058

Observation ecdb5fb3-e9f4-4ead-9080-0421ff559052 · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.739050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.446820Z digest=sha256:dd7279cb8f43be5e8ae2ad6241e9eb4702e94bab1ded685225ea2142555a55f0

Observation 73400e70-ebcd-4897-bb6f-b966cdb91590 · outbound

This paper cites Pedregosa, G.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Pedregosa, G

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.722100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.451788Z digest=sha256:5f61bc8e17158436768e890c4b809278abf36c65cf3d094caa5c42978bdb2748

Observation 4dca3df6-6a79-4bad-a977-56e1c0378cac · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.703275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.457221Z digest=sha256:2add2b27e8b1ee78b4556b87fce683334c10568f683f5a714349597e604d40dc

Observation c7fe6115-52ed-4759-9cbb-4bf8788004a9 · outbound

This paper cites Galati, USAD: UnSupervised Anomaly De- tection on Multivariate Time Series, available at https://github.com/manigalati/usad,.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Galati, USAD: UnSupervised Anomaly De- tection on Multivariate Time Series, available at https://github.com/manigalati/usad,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.686802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.462759Z digest=sha256:7a527fc222bf2c3069164e3dde94b9daec2c1705910e57f84d67e1d3723812cd

Observation 3688bfef-1aee-4825-88d9-34170ca06848 · outbound

This paper cites Bergstra, B.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Bergstra, B

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.649261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.472755Z digest=sha256:1ddb1896f1a2cd618d4f67917dc973baee72be69adecdffca0627cfbcba87457

Observation 08e0b5e8-54ca-44cc-8778-5dc680769827 · outbound

This paper cites Raffin, A.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Raffin, A

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:09.631554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.478618Z digest=sha256:a14daef1b16acca556765df4deb65ac65330dbe6610626473ab36f51efa7807c

Observation ceec16f7-7e47-42cf-985d-eabd6b1b301b · outbound

This paper cites an unresolved cited work.

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:09.668764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T23:04:09.467996Z digest=sha256:6afa95aeb4422e436f16df397bf035fff8dadb3774931736bb1662a65faa8148

Pith citing papers

No inbound Pith citation observations are available.