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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 16 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 2026-08-16T06:30:59.297886+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

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  • 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.182008Z digest=sha256:075d7792b8d5a3a53cec37e1e56d823f5573aa5114a4bdaa55e43f8e8bb9e0ab

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
raw_fallback, observed 2026-08-10T23:04:10.501805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.186554Z digest=sha256:85094ea646ce99b64ac4e28b7d29e30a6a4a60014565f39bdb3de749a29e4a48

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 2026-08-16T06:30:59.297886+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
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
raw_fallback, observed 2026-08-10T23:04:10.260487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
unresolved
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.298464Z digest=sha256:36cd4e59556ec01cb43e252e0a731c8f059bfc89a5681bd39afc8ffb55f4ae64

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
raw_fallback, observed 2026-08-10T23:04:10.178638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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
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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 2026-08-16T06:30:59.297886+00:00.

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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
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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.324372Z digest=sha256:c811a00554cbbc6c8dc12783c376db95538bb170436da160e904af0fd9613214

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.330466Z digest=sha256:bcf13c229c2e637b027b4ec9949da62ae2ef6fe38f2eda1e842d938a075d2469

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.335532Z digest=sha256:e738a25dde24b0f29888e0ba5789a357f573dce907b97f3d02785a35f218e02e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.341431Z digest=sha256:57da227a2169af297ad993b786c174b4f6cd9ef35495b35c8e4fea353c32e8a4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.346398Z digest=sha256:78b0279a9318ac51556b9980afe22944c17a992df3ff2a8990161b7598877ab4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.351262Z digest=sha256:df83a2a5393349eb0bec1aa415431b063a20fca9285072da503710cc069d34e3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.356338Z digest=sha256:038541833508ef11b461246567cfa3217c1bcf452b435cda5277bd81d539bc31

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.361536Z digest=sha256:69b14a535a3a9d2b2dd0d29167f7f7f142fd0827ee7379f977c1664ad5d39464

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.366530Z digest=sha256:3de0bb2ffa6b77769a511a0aaf59976c7d7cf35d5801b52fe3b2d24ac822710b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.371327Z digest=sha256:52340b847c4a4537fa2d3a979b461da1b62c71f715fe48afb2b980ce87fef80e

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=sha256:31c5285bf02897c4533f68d166661ebdd829cf3cdca794bababad7b60c6530e0

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.385917Z digest=sha256:7f88af141c61dd70dfce1ae12d64245edce73487bd4b7f47ca1d3d0f5403159a

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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.

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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 2026-08-16T06:30:59.297886+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.

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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=sha256:281d0f4b557b3e3c839706bb0e9304819ab0dc12314e65439fccc984677b76ca

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.417273Z digest=sha256:0c5de0252ad6ac36bc5af5951ea4f2a4e03e4f8b0f1dd86546b6898938575b88

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.422140Z digest=sha256:d1d8d7c82e4bea41e8a7822cd52fac20e5ab96cfadf4f3ae90292b580e4a2a3d

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.441969Z digest=sha256:25d2bbf59d00440323105ec1554767cd74ba1310aba89cec37f4d86d3cc63146

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.446820Z digest=sha256:a5f9605c1ed9873ae16f1d41c29cd0524ac933a2370c1dd07e5bdc2b52e99aaa

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.451788Z digest=sha256:10eff77940e39779da63fc9a517c33c362f09f884e24d1656cfb4d7083148356

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.457221Z digest=sha256:854caad1189a47987a40b3b6bba6d1a246e2c1d607eda687e56d01526c1fa87c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.462759Z digest=sha256:8417aa3b4f8bd91d2d8e06d1bdafe261e9e16b578c880a55ffc1269cd6d3152c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.472755Z digest=sha256:a029176eeb14b2b52e9f55ba0f5ca9ee6a92b4ebcb17bf74ae41f3c4656d6129

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.478618Z digest=sha256:58b3888e934fbfe99ef6746c3759890934bd5188c5225c98b2eb625962ebbbad

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:04:09.467996Z digest=sha256:77526cdda9c5075e6eee4701c78546cd36d83d1b19e9b6a005d42f41e9a0a50f

Pith citing papers

No inbound Pith citation observations are available.