Pith. sign in

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

  • 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

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.769974Z

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=2026-08-10T23:04:09.094768Z digest=sha256:a99db47e74d72599c09b040597f65be211c18c9ad8237367ecfefe98b10346a1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.752443Z

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=2026-08-10T23:04:09.102182Z digest=sha256:8a7dc689fa1f75e0d8c8ace9f3692fcbec83daf128046f92672e883d09499bb7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.728076Z

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=2026-08-10T23:04:09.109398Z digest=sha256:e62d4035093ad36883e5a56bccf2dee1169b17705ca8e405ec9e87f94e1ad774

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.710234Z

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=2026-08-10T23:04:09.116913Z digest=sha256:1c64277b45fa6c54aa1e0b0a45eab71c09c0f098a39ff41e96eb4cc102da09aa

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.692324Z

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=2026-08-10T23:04:09.122680Z digest=sha256:e3b04d097536891c3bf02279a56d8132153c130bdaf007b042ae536fa65559ab

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
unresolved
raw_fallback, observed 2026-08-10T23:04:10.672790Z

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=2026-08-10T23:04:09.129000Z digest=sha256:6e0935e9a37291ef3df4a0a0a6320b7f59bc5b31bc8e49d8ea0d8d0fc92d590c

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
raw_fallback, observed 2026-08-10T23:04:10.654281Z

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=2026-08-10T23:04:09.134643Z digest=sha256:904c17fcad9d62a2d978d2f04caef01e54dee29412cab808ca1ab9e810a6c1d7

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
local_arxiv, observed 2026-08-10T23:04:09.612900Z

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=2026-08-10T23:04:09.142961Z digest=sha256:f1916afb8e8ee71c7e535728a8c619e1a31a07bf3de811cbcfa1410bea7b0cb5

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
raw_fallback, observed 2026-08-10T23:04:10.635921Z

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=2026-08-10T23:04:09.148911Z digest=sha256:3f8cc8b7af112579f4fbd87bcac6df9caf56bfe50e508ec612bbc50218d6ed4c

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
unresolved
raw_fallback, observed 2026-08-10T23:04:10.618208Z

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=2026-08-10T23:04:09.154825Z digest=sha256:20d7a5ab64182d7b5f430160051383247e435b09e5dff8c6e56995e7b9adc36d

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
raw_fallback, observed 2026-08-10T23:04:10.602055Z

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=2026-08-10T23:04:09.160345Z digest=sha256:f2590472b3f33440d7cef86fb698a71e4a27bc481671a4c5ac750c5b6ad3950d

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
raw_fallback, observed 2026-08-10T23:04:10.585288Z

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=2026-08-10T23:04:09.165709Z digest=sha256:9eac10d5d809b1ade4da9045be0bf38b4f0bb353aa4b9dae7bd58e507fd9f07d

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
raw_fallback, observed 2026-08-10T23:04:10.568860Z

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=2026-08-10T23:04:09.171434Z digest=sha256:fbf3fea791c18b49168582c7db10644c3fcd16fadf147e03bcd2e4dc1feee0e0

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.

source=pdf_text observed=2026-08-10T23:04:09.176132Z digest=sha256:dc6c48b7fc6f1bc850e2358084d62cf1119d1201ad41893f3af0e6abdf521e02

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
raw_fallback, observed 2026-08-10T23:04:10.523763Z

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=sha256:2211e0f1bcb2df17505c200ff5634285eaa9db2021e055904c46138b3150860d

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=sha256:83853f29732c8cd16c494226d6e794ef47da83023d1eee9009669ef4746cdd36

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
raw_fallback, observed 2026-08-10T23:04:10.483108Z

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=2026-08-10T23:04:09.191945Z digest=sha256:a8c16a306b95854651a46f6cb416d04adbb69b495c36ca0ed0c6eaefb0a5f5ec

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

source=pdf_text observed=2026-08-10T23:04:09.199179Z digest=sha256:0d8790c59be102f03652dad0a1e1f9ddb0a040bf32552f1c578c542782b896cc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.439954Z

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=2026-08-10T23:04:09.205052Z digest=sha256:1c54dd5ffeabc1f28bcdb387faae304c9c6fbd76c668d2c47ecddeebe1ed5f11

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.420982Z

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=2026-08-10T23:04:09.210096Z digest=sha256:f3d8e79c0ffd6152aab6786dac694cb800f178afb33ea17439439bb85ababea3

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.401200Z

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=2026-08-10T23:04:09.217470Z digest=sha256:de698a96aa019ae2c8f1d44accbdfecb2a5780cc879a13af5d133ea9e7ff8bc0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.384776Z

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=2026-08-10T23:04:09.222789Z digest=sha256:9c162773db13d5c60d7fc35e15bb190faa036631a7ed43010fa1f3328ccf1a4a

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.368819Z

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=2026-08-10T23:04:09.229707Z digest=sha256:53e4e96c037280e4c0fce387e2f164bdcc54edfe9a1cda2400bc24fb8e8c6beb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.351006Z

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=2026-08-10T23:04:09.234816Z digest=sha256:a6f7938b9c625a41de77c7260ff89bab62e361f47d05ca4672d1fadbcbe37194

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:04:09.240379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:04:09.240379Z digest=sha256:abc31fec784c2a8045d38d159339557f314cc5db209ba3f6937a015306b28b28

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.332417Z

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=2026-08-10T23:04:09.246663Z digest=sha256:0428c058aa1181aa2c3f0231fe31ce9d3e7179bbf3bb526675f27f7fbc2e48a5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.310772Z

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=2026-08-10T23:04:09.252317Z digest=sha256:45a23509526bdd76f9e2e346ea2719a8dcd85952bf98d446473faea9c3904cc8

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:04:10.293348Z

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=2026-08-10T23:04:09.258053Z digest=sha256:d493636ae8a5e5e6db53671e4fa1b5395ff524af6651d65a5959a2a97f153277

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.276356Z

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=2026-08-10T23:04:09.263701Z digest=sha256:74ec59ec4db7754d5453dae3408a694533d57ae2035d44cc3e239997e9931450

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.

source=pdf_text observed=2026-08-10T23:04:09.270361Z digest=sha256:14c25fa0cd64fc14c7a2a49e02d4dea378508a8d0c87a4d6a30e537e7f0182cf

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:04:10.244992Z

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=2026-08-10T23:04:09.276488Z digest=sha256:7eb478dbcb6b4eecabb4d6e08d4eedc2dd63c4bc2b723e7f45f073eb592983d7

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
raw_fallback, observed 2026-08-10T23:04:10.229567Z

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=2026-08-10T23:04:09.283016Z digest=sha256:acad9f9f73e3022c253207fce4ce91562e4c05835cf21522c618c3a442ce13e1

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.

source=pdf_text observed=2026-08-10T23:04:09.290072Z digest=sha256:cbccbb1c6c1d12a00fdeb7bf90c6424399749b3b7c60b124649785770f34fc05

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=sha256:8a8c8bc7589d4d6b50e4fb1e38fe117cd8d860298bc3e25be5bb7e619cc8c621

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.

source=pdf_text observed=2026-08-10T23:04:09.303647Z digest=sha256:2e04baa4e40b87d36aee717fcfa0e24016f66f4c7d0cdd90433ac8de5de5b310

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

source=pdf_text observed=2026-08-10T23:04:09.308805Z digest=sha256:cd1ccaf7f75dc2516f123ad16a45b9ec510ed142eb44b3223e77d8a33c579440

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

source=pdf_text observed=2026-08-10T23:04:09.314202Z digest=sha256:b8e1887b589d57e4fc6187998270da8df163ba1afc644960fc704bc04401d568

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

source=pdf_text observed=2026-08-10T23:04:09.319411Z digest=sha256:1fb936efda9c28561c74990f562cbcec378456b2891fa5736d2825468217b15a

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

source=pdf_text observed=2026-08-10T23:04:09.324372Z digest=sha256:fce599b5d17fc6e8c48fbe4c46b1dcb06e698ef4f7ed7f5f388ca6445e11724c

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=sha256:11cb42e134874b82e697e4132b15f473c94eaa02a2178b7e85cc76fb0b009636

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:cfd34793e02163a12adbbcce1caa5518a62ce1fe6e91392e0552acdd8df2e209

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=sha256:64b85093b461c56119b9fb3efca82ab08ed787f7e7543ba30ca66f204fa6d361

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:e78f2731de20166213d37f92d40a7224f8ecda1b86b2c9d6ccc0be9b83dc170e

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=sha256:1bcab1283a4f9804d8148fe1f802008c7821547e0c3a9b7493eeea465fe86c9f

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=sha256:0dd690ef999ccb101f00b83703a7e8fcc88c0e30a05ed6e535fe45d063d293ec

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:f5223d8feb845c7d3819fb68509345f06dc855cb016e020c45aad9604daf9b2b

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=sha256:9917145de2f9df6d70be65e7c4171a16428d9716765ccdd49a285b0c543cac18

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:fac84dc0687f9fad391ec739781ef72ca42930ff03ac0012024f1d1102c44e43

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=sha256:0555f2e821886b95b24c0bd9fb5389a50f189341320593899adb6a8f329830a6

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.

source=pdf_text observed=2026-08-10T23:04:09.381225Z digest=sha256:ec6c1d147d4e86f1d95ed7661c4ce4f139bccf405a1f16b987428a52952f2bfc

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=sha256:334d89e8e6378248e55ce9dde550b2f19c4ce1fe720403d668160bed0f014a06

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.

source=pdf_text observed=2026-08-10T23:04:09.389947Z digest=sha256:cb2fbde6b9190c64ae7b9fc534f32e677c1c2517533a91f8e529d4b740d73877

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.

source=pdf_text observed=2026-08-10T23:04:09.394436Z digest=sha256:4fd8498d92dbfb154ddb9037d3b21d955da8c5eb29e95dd42e656e99b867b4dc

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:b90b7b6cd9ba2b9fe51be651130ad00e2ffa842378249940ef61b23a335f9ec4

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.

source=pdf_text observed=2026-08-10T23:04:09.403093Z digest=sha256:605750569561ba8ea621362de0453fc5a0d9d10a1aeecc43708fe333d7436fbb

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=sha256:9e213fac8a034c7fffd0df337dbfa5698bc2b30b9d35ba0fc0c56cd06b6c4623

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=sha256:1ddd9bf7af6e382195fc24267572a5d428a5bb3bf7088f0a5cc9f1a04d2f980f

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=sha256:3400b8a7fe44b33e26d886c6330f758d26b60278cb66f70a460e449fc9dad2f2

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=sha256:7e592c76899cbd8968d73a7498ec79d11f49782717010d0e07611f390494b5d9

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.

source=pdf_text observed=2026-08-10T23:04:09.427065Z digest=sha256:6c3638f66e76ec04d30c720bbcad5ab521485ae91db66b523e26e28a5d5f31aa

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.

source=pdf_text observed=2026-08-10T23:04:09.436470Z digest=sha256:c3871d47c928855f3afd1443cbf4d1176261cdb29833d44845f8d018d1fc46db

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=sha256:3fb86c7ebfcdbca589ceedcebd3e116d31071794b80c2a8f5c047d1057469c55

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:af05be7e351cdbc2856fa5183d8bef6d28b4599f3078fc594c19391661656aaa

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=sha256:51c2b5d4b8515f00ae5ce1a62e162ce9d77a8b0489cb8823de13f1063a01f71a

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=sha256:2507cafa2b71f99aab0b0707e1950adfba82df347f84a88d1908120ba1a391dd

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=sha256:18027cf92c085fb6b3cd9f17d8b04a212f3c180a381ec8de1f06c1e7e1e60b29

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=sha256:0564b53cbaac3dd378b87b72602066ef14b51563db40f5d956aef0a1eeba2d94

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=sha256:2d4e53526510a567a873218588a7d179709443f743bd4c5524314dee31c64c7c

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:a97b4bd42bacb4d1dfb0565bf1974b194fc8c35213e9c0339287d38898a1a972

Pith citing papers

No inbound Pith citation observations are available.