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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 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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.

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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 2026-08-18T06:34:40.430872+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
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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 2026-08-18T06:34:40.430872+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

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.197970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.308805Z digest=sha256:0e2fd5aba941b69aa1ec3b6a1a70f56014e2f476a544745dffbfe57e1b41ff21

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.314202Z digest=sha256:0c0914074930127b8677dc68a18e568d2229afc00ec38e53f994f3ab9d78ecc6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.319411Z digest=sha256:a2450b857aab537bed5e22c465e88e39891ae920ff5cc7f9c33342b2f7c2b78e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.324372Z digest=sha256:2c314feb9a9d6e73f881a81d5b4e21598c4be38cb1f0d5b1b8be48cc83c672d2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.330466Z digest=sha256:1b0d0459b6d2bffd34bb6cce0cbab2fc3074824e078a458e5193bde85c2c3477

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.335532Z digest=sha256:f697aa335173fbfdf6793b7b23cde19ec2166406640a44cc1c79821f6dd984c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.341431Z digest=sha256:b0eabaff4c3a6a8fefc00efdf4573614bc5a0d6b5cffdc9eb96765a5a17316e6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.346398Z digest=sha256:e407ce152dc2515f7dbaed4a81f6bd782a284f13494117f8eaf7a886303534a9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.351262Z digest=sha256:f9bc5af48ab7deae6668174c6bec5934e64b126e0d0a9cbc5dcaa92c44b7c192

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.356338Z digest=sha256:e0ff519b3f8d56193d099ad33d8c1487465ae9faafb1b3086144ec77b47588b6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.361536Z digest=sha256:7ac28e4f59395bb2a25a0150a912de794c57933d4ab0de67db14205e5578df15

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.366530Z digest=sha256:812d02a7b65e68b3c4b9c8a2d8dc22c6a15393283ee5ae4124577f60c5427db5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.371327Z digest=sha256:a0a842303457123164d31020b5d031374743dc5484fb1ba21fb417707e5e195d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.381225Z digest=sha256:8b98c313bc167c2267e2f1a248996c05a12296a0132c0302c624f8ef3a6290fc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.385917Z digest=sha256:b741c11c3a1a289f3c0910107a0937bcd7389030a72ad00d49d9e7931a366173

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.389947Z digest=sha256:2f80d4b5bea5352ed150fcdfaf799092dd2b6794db636a197f8a4f766408e442

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.394436Z digest=sha256:b6f9fc372f787cc0d9b050023fc2888adaa38659e33790b9087746a55045eee4

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=sha256:093981b1b2926f7e65ecf8dee68c938bd03e23fc982f14c71a05202156e5647e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.403093Z digest=sha256:b736cfcf8ebb70b2b1cce590e53d60f3555fa90fbaced1e141e246ccce943f3a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.417273Z digest=sha256:a6bb96c6ee57f3b343bf97fe8e822e174ab7a498818b9fa46b1ec402453c9643

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.422140Z digest=sha256:c7e8d338947a50586f0db013431127284d84b4b4e9dc2e2be76660f13f013457

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.427065Z digest=sha256:a57a7bfec6cb88ff658c87545fe85b432941ab86299f64b262064f89608a5310

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.436470Z digest=sha256:b164c5589e173fa32a962e7e340ea43501d2d72c717d975054e9571d913964be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.441969Z digest=sha256:f9878431d30fece51c50d8188bbc49629cf0fad9c8ec25ed2bbf627256aa9abe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.446820Z digest=sha256:dbb760fbcf979b3fea5ca06e7910b7c6e2a8c929255defcb5a9bbdcbf96d9c20

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.451788Z digest=sha256:5e91d917a9b5b349f2f5f981b5e4303ad34b66e16dc03c8e6804ee07396fd120

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.457221Z digest=sha256:2d007b3c529f2c3d39b15f4dbfbcd24322d7f6f90568a848bd804b8db382967f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.462759Z digest=sha256:8356aca1ec6884324be7d5ea139e8a2046c04b443235b75c6e45f95c6f59bf66

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.472755Z digest=sha256:252666f169708be9db0321728e69302eb08f071d6e49b1b580f149dde35f29be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.478618Z digest=sha256:44b92ceaa50ab69828ea1a65e4f6d588646f794414211d91bdd1ec7e1b9dbd90

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T23:04:09.467996Z digest=sha256:6ea67b1fd66144381a301e713918e9803c8922bffb15c2a1eef6e39b32b05b8c

Pith citing papers

No inbound Pith citation observations are available.