Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence | Paper Citation Record

Observation 2eb005f6-67ad-4e4f-815c-b89018a8c4e6 · outbound

This paper cites Fault Location on Power Networks ; Springer: London, UK, 2010.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault Location on Power Networks ; Springer: London, UK, 2010

Reference 1

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Observation a9a62cd2-253c-4792-88fc-6ad7c1ba9da6 · outbound

This paper cites Fault Location and Service Restoration for Electrical Distribution Systems; John Wiley: Singapore, 2016.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault Location and Service Restoration for Electrical Distribution Systems; John Wiley: Singapore, 2016

Reference 2

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Observation bf32679b-6522-4504-a3b6-6ebe5c2101e2 · outbound

This paper cites Fault Location on Transmission and Distribution Lines.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault Location on Transmission and Distribution Lines

Reference 3

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This paper cites Classification and trend analysis of threats origins to the security of power systems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Classification and trend analysis of threats origins to the security of power systems

Reference 4

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Observation 2b047eff-1633-42d0-b88b-5550c18c2307 · outbound

This paper cites Smart Grids–Fundamentals and Technologies in Electricity Networks, 2nd Edition, Springer: Berlin, Germany, 2020.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Smart Grids–Fundamentals and Technologies in Electricity Networks, 2nd Edition, Springer: Berlin, Germany, 2020

Reference 5

Resolution: verified exact; doi, observed 2026-08-06T17:48:44.828289Z

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Observation a73fab54-f188-48e6-b6f2-fcc47745dc6b · outbound

This paper cites Smart Grid and Enabling Technologies; John Wiley-IEEE Press: Hoboken, NJ, USA, 2021.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Smart Grid and Enabling Technologies; John Wiley-IEEE Press: Hoboken, NJ, USA, 2021

Reference 6

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Observation bf1e6de8-3164-45a4-b385-29e6dd6b22a8 · outbound

This paper cites Fundamentals of Smart Grid Systems; Academic Press, 2022.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fundamentals of Smart Grid Systems; Academic Press, 2022

Reference 7

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Observation 77e70b95-373d-4283-97c6-ad022fe47c20 · outbound

This paper cites Fault location for distribution smart grids: Literature overview, challenges, solutions, and future trends.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault location for distribution smart grids: Literature overview, challenges, solutions, and future trends

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T17:48:44.338996Z

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Observation 0ae56034-9f3a-4be5-a0ab-a2077dc489f6 · outbound

This paper cites Fault detection, classification and location for transmission lines and distribution systems: a review on the methods.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault detection, classification and location for transmission lines and distribution systems: a review on the methods

Reference 9

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Observation 80960679-28ec-4a94-8061-460c74b2e57a · outbound

This paper cites An overview of transmission line protection by artificial neural network: Fault detection, fault classification, fault location, and fault direction discrimination.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence An overview of transmission line protection by artificial neural network: Fault detection, fault classification, fault location, and fault direction discrimination

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T17:48:44.186082Z

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Observation 9acd2750-9f0b-42de-847c-24fd12e8d404 · outbound

This paper cites Methodologies in power systems fault detection and diagnosis.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Methodologies in power systems fault detection and diagnosis

Reference 11

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Observation 9e85ae79-408c-4529-8381-d70579b30391 · outbound

This paper cites A survey on intelligent system application to fault diagnosis in electric power system transmission lines.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A survey on intelligent system application to fault diagnosis in electric power system transmission lines

Reference 12

Resolution: verified exact; doi, observed 2026-08-06T17:48:43.821433Z

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Observation efd2bc88-7844-4156-a048-e417845571f4 · outbound

This paper cites Fault diagnostics in smart micro -grids: A survey.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault diagnostics in smart micro -grids: A survey

Reference 13

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Observation 0bca7ceb-51f3-418b-98ee-30c869d7f335 · outbound

This paper cites A comparison of impedance-based fault location methods for power underground distribution systems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A comparison of impedance-based fault location methods for power underground distribution systems

Reference 14

Resolution: verified exact; doi, observed 2026-08-06T17:48:43.383037Z

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Observation 6d7f55a8-cc57-4e4f-9a7b-cabebeb5aa68 · outbound

This paper cites A comparison framework for distribution system outage and fault location methods.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A comparison framework for distribution system outage and fault location methods

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T17:48:43.252067Z

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Observation 27e1b5f3-f236-409d-a19f-7598211e4c04 · outbound

This paper cites Fault location and detection techniques in power distribution systems with distributed generation: A review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault location and detection techniques in power distribution systems with distributed generation: A review

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Resolution: verified exact; doi, observed 2026-08-06T17:48:43.113779Z

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Observation b83f7362-e0a0-4412-a80e-3b903cc3c3cd · outbound

This paper cites Fault detection, location and classification of a transmission line.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault detection, location and classification of a transmission line

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T17:48:42.974194Z

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Observation 82334b00-4d61-46b8-b5d3-a6dea34f08e4 · outbound

This paper cites A review of fault diagnosing methods in power transmission systems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A review of fault diagnosing methods in power transmission systems

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T17:48:42.690593Z

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Observation 42948da5-bf8b-44f7-b709-21571ea963c3 · outbound

This paper cites Microgrid fault detection and classification: Machine learning based approach, comparison, and reviews.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Microgrid fault detection and classification: Machine learning based approach, comparison, and reviews

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T17:48:42.312001Z

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Observation 7d7cc073-00c8-40a7-bb2d-20394ddfb515 · outbound

This paper cites Faults in smart grid systems: Monitoring, detection and classification.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Faults in smart grid systems: Monitoring, detection and classification

Reference 20

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Unresolved cited work

Reference 21

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Observation bc240358-2c3d-4e99-a526-cabf70e4e504 · outbound

This paper cites Transmission line faults in power system and the different algorithms for identification, classification and localization: A brief review of methods.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Transmission line faults in power system and the different algorithms for identification, classification and localization: A brief review of methods

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Resolution: verified exact; doi, observed 2026-08-06T17:48:42.078538Z

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Observation 35f4df30-8df7-46de-b4d1-d956bf84be1c · outbound

This paper cites Fault detection and protection schemes for distributed generation integrated to distribution network: Challenges and suggestions.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault detection and protection schemes for distributed generation integrated to distribution network: Challenges and suggestions

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Observation ccec54cc-99a9-41bc-932e-25c59d4f2cb4 · outbound

This paper cites Machine learning applications in power system fault diagnosis: Research advancements and perspectives.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Machine learning applications in power system fault diagnosis: Research advancements and perspectives

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Observation 975f4137-564f-4d64-9bd0-303b2cecafe7 · outbound

This paper cites A survey of fault prediction and location methods in electrical energy distribution networks.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A survey of fault prediction and location methods in electrical energy distribution networks

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Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:48.255436Z

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Observation c9c2358f-079c-4f90-97e4-07996e81a812 · outbound

This paper cites Advances in transmission network fault location in modern power systems: Review, outlook and future works.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Advances in transmission network fault location in modern power systems: Review, outlook and future works

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Observation 6472c84c-3b03-4668-9016-364f2eeb6360 · outbound

This paper cites A comprehensive review of various fault location methods for transmission lines compensated by FACTS devices and series capacitors.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A comprehensive review of various fault location methods for transmission lines compensated by FACTS devices and series capacitors

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Observation 97ad8a09-7a8a-40a6-a997-622593fdaf4b · outbound

This paper cites Impact of integration of renewable energy sources on power system stability, fault protection and location: A review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Impact of integration of renewable energy sources on power system stability, fault protection and location: A review

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Resolution: verified exact; doi, observed 2026-08-06T17:48:41.948720Z

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Observation 2cdb1c46-7ba3-4149-9061-a9aa5dda089a · outbound

This paper cites A review of fault location and classification methods in distribution grids.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A review of fault location and classification methods in distribution grids

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Observation 16befac5-a13b-4ab0-b688-3094d93393de · outbound

This paper cites Fault detection, isolation and service restoration in modern power distribution systems: A review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault detection, isolation and service restoration in modern power distribution systems: A review

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Resolution: verified exact; doi, observed 2026-08-06T17:48:41.820086Z

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This paper cites Failure and fault classification for smart grids.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Failure and fault classification for smart grids

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Resolution: verified exact; doi, observed 2026-08-06T17:48:41.634496Z

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Observation b99a8493-10a8-467e-ac17-d4112f88e65b · outbound

This paper cites Machine learning tools for active distribution grid fault diagnosis.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Machine learning tools for active distribution grid fault diagnosis

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Observation c0812093-adc9-456b-a3af-3aadf927a4bf · outbound

This paper cites Review on artificial intelligence -based fault location methods in power distribution networks.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Review on artificial intelligence -based fault location methods in power distribution networks

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This paper cites Fault Detection, Classification, and Location in Underground Cables.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fault Detection, Classification, and Location in Underground Cables

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This paper cites Application of machine learning methods in fault detection and classification of power transmission lines: a survey.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Application of machine learning methods in fault detection and classification of power transmission lines: a survey

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Resolution: verified exact; doi, observed 2026-08-06T17:48:41.414953Z

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Observation ab18c4ed-cda8-4098-86dc-8d164d373397 · outbound

This paper cites Model -based transmission line fault location methods: A review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Model -based transmission line fault location methods: A review

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This paper cites Artificial intelligence based faults identification, classification, and localization techniques in transmission lines-A review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial intelligence based faults identification, classification, and localization techniques in transmission lines-A review

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This paper cites Traveling-wave based fault location estimation in FACTS compensated transmission system: Recent status, challenges and future research directions.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Traveling-wave based fault location estimation in FACTS compensated transmission system: Recent status, challenges and future research directions

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This paper cites Chapter 4-Machine Learning Techniques for Power System Application: Fault Analysis, In Power System Protection in Future Smart Grids ; Ustun, T.S., Ed.; Academic Press, 2024; pp.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Chapter 4-Machine Learning Techniques for Power System Application: Fault Analysis, In Power System Protection in Future Smart Grids ; Ustun, T.S., Ed.; Academic Press, 2024; pp

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Resolution: verified exact; doi, observed 2026-08-06T17:48:41.231997Z

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Observation 6f4d7e39-a0f7-4f04-bb66-ab6480ba1af3 · outbound

This paper cites Deep learning techniques for transmission line fault classification - A comparative study.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Deep learning techniques for transmission line fault classification - A comparative study

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This paper cites Advanced fault detection, classification, and localization in transmission lines: A comparative study of ANFIS, neural networks, and hybrid methods.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Advanced fault detection, classification, and localization in transmission lines: A comparative study of ANFIS, neural networks, and hybrid methods

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This paper cites Advancements in fault detection techniques for transmission lines: A literature review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Advancements in fault detection techniques for transmission lines: A literature review

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This paper cites A review: Methods of fault detection, identification and location in conventional and active AC power distribution system.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A review: Methods of fault detection, identification and location in conventional and active AC power distribution system

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Resolution: malformed identifier; doi_truncated, observed 2026-08-06T17:48:41.035725Z

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Observation c2abc874-e542-4e31-bdaf-3ff1715a3352 · outbound

This paper cites Statistical techniques in power systems fault diagnostic: Classifications, challenges, and strategic recommendations.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Statistical techniques in power systems fault diagnostic: Classifications, challenges, and strategic recommendations

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Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:49.988411Z

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Observation 443b5913-0f7b-4b45-965b-137a0e1f1152 · outbound

This paper cites Intelligent fault diagnosis in power systems: A comparative analysis of machine learning-based algorithms.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Intelligent fault diagnosis in power systems: A comparative analysis of machine learning-based algorithms

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This paper cites Impedance -based fault location in transmission networks: Theory and application.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Impedance -based fault location in transmission networks: Theory and application

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Observation 9e6a4a71-e371-4e73-b4c3-25455d7d03d2 · outbound

This paper cites High impedance fault localization: A comprehensive review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence High impedance fault localization: A comprehensive review

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Taxonomy of high impedance fault detection algorithm

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Observation aa46d8c1-5053-46ce-bd5c-024a2c261abf · outbound

This paper cites High impedance fault detection: A review.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence High impedance fault detection: A review

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Resolution: verified exact; doi, observed 2026-08-06T17:48:40.824010Z

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Observation 533035fd-a024-4630-98fe-f2227e4a40fe · outbound

This paper cites Artificial neural network based fault diagnostic system for electric power distribution feeders.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial neural network based fault diagnostic system for electric power distribution feeders

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Resolution: verified exact; doi, observed 2026-08-06T17:48:40.682173Z

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Observation 7b8e01ee-1ecd-4674-862e-7915d69861f6 · outbound

This paper cites An expert system as a dispatchers' aid for the isolation of line section faults.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence An expert system as a dispatchers' aid for the isolation of line section faults

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Experiences of expert systems for power system operation and planning

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Resolution: verified exact; doi, observed 2026-08-06T17:48:40.548615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9c07846-9c02-4087-814e-f1ba1ef65bea · outbound

This paper cites Expert systems in electric power systems: A bibliographical survey.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Expert systems in electric power systems: A bibliographical survey

Reference 54

Resolution: verified exact; doi, observed 2026-08-06T17:48:40.343901Z

Source-reported events for the cited work

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Observation 7112162e-f45a-455b-ab95-1cb1108555db · outbound

This paper cites Expert System Applications in Power Systems; Prentice Hall, 1990.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Expert System Applications in Power Systems; Prentice Hall, 1990

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:50.921097Z

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Observation 6005c18c-1171-4298-a825-18bb21700d5a · outbound

This paper cites Expert systems application to power systems - State-of-the-art and future trends.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Expert systems application to power systems - State-of-the-art and future trends

Reference 56

Resolution: verified exact; doi, observed 2026-08-06T17:48:40.145214Z

Source-reported events for the cited work

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Observation cfa13434-deea-4a24-9372-f50c6ff25153 · outbound

This paper cites State-of-the-art of expert system applications to power systems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence State-of-the-art of expert system applications to power systems

Reference 57

Resolution: verified exact; doi, observed 2026-08-06T17:48:39.817178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fd6ad05-1eee-46a9-a7cc-2a62aa8ab1ef · outbound

This paper cites A second generation expert system for fault diagnosis, Int.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A second generation expert system for fault diagnosis, Int

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Resolution: verified exact; doi, observed 2026-08-06T17:48:39.534335Z

Source-reported events for the cited work

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Observation fe4ebe3c-f21b-4ca5-a451-027a19e73a9a · outbound

This paper cites Applications of Artificial Intelligence and Expert Systems in Power Engineering.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Applications of Artificial Intelligence and Expert Systems in Power Engineering

Reference 59

Resolution: verified exact; doi, observed 2026-08-06T17:48:39.189389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cfe05c0-286e-4fbb-bc20-bbee6c4dcecd · outbound

This paper cites A study of knowledge engineering tools in power engineering applications.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A study of knowledge engineering tools in power engineering applications

Reference 60

Resolution: verified exact; doi, observed 2026-08-06T17:48:38.909266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 133b7b39-83e3-42f0-8564-3112ba80a24f · outbound

This paper cites An expert system for the analysis of faults in an electricity supply network: problems and achievements.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence An expert system for the analysis of faults in an electricity supply network: problems and achievements

Reference 61

Resolution: verified exact; doi, observed 2026-08-06T17:48:38.678584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9c3b30a6-12bb-4d51-a25b-eb8e454c47d1 · outbound

This paper cites Computing machinery and intelligence, Mind 1950, 49, 433 -460.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Computing machinery and intelligence, Mind 1950, 49, 433 -460

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:51.490564Z

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Observation e58b1b3d-e560-4546-b8fe-c2a3004aede8 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:51.579184Z

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This paper cites Artificial Intelligence: A Modern Approach; 4th ed., Pearson, 2021.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial Intelligence: A Modern Approach; 4th ed., Pearson, 2021

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:51.651664Z

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Observation 62bc41ef-5b01-43a3-ab25-462edd9c131f · outbound

This paper cites Artificial intelligence in the 21st century.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial intelligence in the 21st century

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:51.715176Z

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Observation ef15d1b7-cc25-4beb-9e2a-e8b667e2ae4a · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial intelligence and machine learning

Reference 66

Resolution: verified exact; doi, observed 2026-08-06T17:48:38.502542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30672d66-f5e1-4cf4-898e-00f2e5cd7911 · outbound

This paper cites et al., Artificial intelligence: A powerful paradigm for scientific research.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence et al., Artificial intelligence: A powerful paradigm for scientific research

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:51.864283Z

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Observation 71bcf6c8-e16e-49b9-9d2f-f363e3773a1c · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence On defining artificial intelligence

Reference 68

Resolution: verified exact; doi, observed 2026-08-06T17:48:38.354063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb2789e2-32f1-4bfe-b694-2cc2ca3fa361 · outbound

This paper cites Chapter 2 -Artificial Intelligence: Definition and Background.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Chapter 2 -Artificial Intelligence: Definition and Background

Reference 69

Resolution: verified exact; doi, observed 2026-08-06T17:48:38.215435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 728d40cb-6308-4227-8b2b-23eef76b81c6 · outbound

This paper cites Introduction to Artificial Intelligence.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Introduction to Artificial Intelligence

Reference 70

Resolution: verified exact; doi, observed 2026-08-06T17:48:38.083564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 03e2fbc3-6117-49ff-a15c-43d307df4e86 · outbound

This paper cites Artificial Intelligence in the 21st Century, Mercury Learning and Information: Berlin, Boston, 2022.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial Intelligence in the 21st Century, Mercury Learning and Information: Berlin, Boston, 2022

Reference 71

Resolution: verified exact; doi, observed 2026-08-06T17:48:37.917954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a44795c7-d64c-4c91-a7cf-eb418b574456 · outbound

This paper cites Machine Learning: A Probabilistic Perspective; MIT Press: Cambridge, MA, USA, 2012.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Machine Learning: A Probabilistic Perspective; MIT Press: Cambridge, MA, USA, 2012

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:52.267656Z

Source-reported events for the cited work

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence An Introduction to Machine Learning ; 3rd Edition, Springer: Cham, Switzerland, 2021

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Resolution: verified exact; doi, observed 2026-08-06T17:48:37.779693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 449dd304-0b9d-4185-ab9c-4dc6cb86b9bd · outbound

This paper cites Applied Machine Learning; Springer: Cham, Switzerland, 2019.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Applied Machine Learning; Springer: Cham, Switzerland, 2019

Reference 74

Resolution: malformed identifier; doi_truncated, observed 2026-08-06T17:48:37.626606Z

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Observation a676c82d-6591-4543-a46b-2ea29b321547 · outbound

This paper cites Mathematics for Machine Learning ; Cambridge University Press: Cambridge, 2020.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Mathematics for Machine Learning ; Cambridge University Press: Cambridge, 2020

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:52.487909Z

Source-reported events for the cited work

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Machine Learning and Artificial Intelligence ; 2nd Edition, Springer: Cham, Switzerland, 2023

Reference 76

Resolution: verified exact; doi, observed 2026-08-06T17:48:37.474547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 94d5abf0-1ddd-4be3-b151-7069b9168afd · outbound

This paper cites Metaheuristics in Machine Learning: Theory and Applications, Springer: Cham, Switzerland, 2021.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Metaheuristics in Machine Learning: Theory and Applications, Springer: Cham, Switzerland, 2021

Reference 77

Resolution: verified exact; doi, observed 2026-08-06T17:48:37.302925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b119d1b3-80ac-47cf-a766-1b35dbd5d73e · outbound

This paper cites Algorithms and Applications, Academic Press,.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Algorithms and Applications, Academic Press,

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Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:52.668212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28bbf777-5d13-44c3-a9b0-a4d8cf7d7ed1 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Abdel-Basset, L

Reference 79

Resolution: malformed identifier; doi_truncated, observed 2026-08-06T17:48:37.007389Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1797298b-bd61-4bf4-aefc-f16f1aac6f53 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A survey on new generation metaheuristic algorithms

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:52.852787Z

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Unavailable: canonical work link unavailable.

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Metaheuristics: a comprehensive overview and classification along with bibliometric analysis

Reference 81

Resolution: verified exact; doi, observed 2026-08-06T17:48:36.835157Z

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Observation 115f93b8-cd32-494d-8608-0095e31ec9d3 · outbound

This paper cites The mosaic of metaheuristic algorithms in structural optimization.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence The mosaic of metaheuristic algorithms in structural optimization

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Resolution: verified exact; doi, observed 2026-08-06T17:48:36.687990Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Metaheuristic algorithms for optimization: A brief review

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.020947Z

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

Reference 84

Resolution: malformed identifier; no resolver link, observed 2026-08-06T17:44:53.101822Z

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Feature selection problem and metaheuristics: A systematic literature review about its formulation, evaluation and applications

Reference 85

Resolution: verified exact; doi, observed 2026-08-06T17:48:36.517324Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d32ed4c-d69a-4261-8726-7fa554290d8d · outbound

This paper cites Metaheuristics for solving global and engineering optimization problems: Review, applications, open issues and challenges.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Metaheuristics for solving global and engineering optimization problems: Review, applications, open issues and challenges

Reference 86

Resolution: verified exact; doi, observed 2026-08-06T17:48:36.313361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e76908d-6274-4260-9286-5da71b0a54b4 · outbound

This paper cites et al., Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence et al., Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning

Reference 87

Resolution: verified exact; doi, observed 2026-08-06T17:48:36.062700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ecac2a7-bc9f-42e4-8ccf-116338d4815b · outbound

This paper cites Snow Geese Algorithm: A novel migration -inspired meta-heuristic algorithm for constrained engineering optimization problems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Snow Geese Algorithm: A novel migration -inspired meta-heuristic algorithm for constrained engineering optimization problems

Reference 88

Resolution: verified exact; doi, observed 2026-08-06T17:48:35.798821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d569d4a9-c62e-48bd-be30-e5d6ee78912a · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence A supervised parallel optimisation framework for metaheuristic algorithms

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.348337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101a55d2-3f17-4719-949c-748be898b280 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Greylag Goose Optimization: Nature -inspired optimization algorithm

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.406397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence The Animated Oat Optimization Algorithm: A nature-inspired metaheuristic for engineering optimization and a case study on Wireless Sensor Networks

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.458737Z

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Observation 0a246d47-33c2-4aba-9684-21ed893913d2 · outbound

This paper cites Introduction to Expert Systems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Introduction to Expert Systems

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.522796Z

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Unavailable: canonical work link unavailable.

Observation e736d045-6fcd-4a64-9993-9c3156d69bd2 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Fuzzy Logic

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.587833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6be6dc02-422d-45f8-b27a-ec77dcf19987 · outbound

This paper cites 4 volumes, Academic Press: London, UK, 2000.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence 4 volumes, Academic Press: London, UK, 2000

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.700635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ca2ce17-8b5f-46bc-bd91-7c4f79303380 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Expert Systems

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:53.813842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a93a2a-8919-42d1-bf9c-6292c1fbf9c6 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence https://doi.org/10.1201/9780138736654

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Resolution: verified exact; doi, observed 2026-08-06T17:48:35.149623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e512647b-2032-4472-af7c-81d1bc61eff1 · outbound

This paper cites Artificial Intelligence and Expert Systems.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Artificial Intelligence and Expert Systems

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:54.041621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c46784d1-02ec-406a-a162-3a29f90f670e · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence From past to present: a comprehensive technical review of rule-based expert systems from 1980-

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Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:54.255486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d160cb5b-b4c9-4a1b-8a6c-d8c15a4c0740 · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Deep learning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:54.441910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f76195-1015-452b-a705-f292020c001b · outbound

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Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence Review of deep learning algorithms and architectures

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:54.486371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 854723c4-c3aa-4f9e-a46d-7baa97cfa744 · outbound

This paper cites et al., Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.

Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence et al., Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

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Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:54.548583Z

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