Reliability Evaluation of Distribution System Considering Distributed Generation Correlation Article Swipe
Juqin Xuan
,
Jieyun Zheng
,
Pengjia Shi
,
Jinpeng Chen
,
Mingrong Lin
,
Zhijian Hu
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1585/1/012029
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/1585/1/012029
The correlation between distributed generation (DG) can affect the reliability of distribution networks. To analyze the influence of this factor, first use Latin Hypercube Sampling, combine Spearman rank correlation coefficient and Cholesky decomposition to obtain the DG output power sample of the specified correlation coefficient. The bidirectional hierarchical structure reliability evaluation algorithm considering switch failure is used to evaluate the system. Considering the island operation mode of the distribution network after DG access, an improved heuristic load reduction strategy is proposed, and the reliability index of the load in the island is revised. The experimental results show that the reliability index of the system is closely related to the rated capacity of DG, the correlation between DG, and different load reduction strategies.
Related Topics
Concepts
Cholesky decomposition
Reliability (semiconductor)
Latin hypercube sampling
Correlation coefficient
Distributed generation
Correlation
Computer science
Spearman's rank correlation coefficient
Heuristic
Rank correlation
Reliability engineering
Sampling (signal processing)
Power (physics)
Statistics
Mathematics
Mathematical optimization
Monte Carlo method
Engineering
Computer vision
Geometry
Quantum mechanics
Filter (signal processing)
Physics
Eigenvalues and eigenvectors
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/1585/1/012029
- OA Status
- diamond
- Cited By
- 1
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3042860622
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3042860622Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/1585/1/012029Digital Object Identifier
- Title
-
Reliability Evaluation of Distribution System Considering Distributed Generation CorrelationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-01Full publication date if available
- Authors
-
Juqin Xuan, Jieyun Zheng, Pengjia Shi, Jinpeng Chen, Mingrong Lin, Zhijian HuList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/1585/1/012029Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1742-6596/1585/1/012029Direct OA link when available
- Concepts
-
Cholesky decomposition, Reliability (semiconductor), Latin hypercube sampling, Correlation coefficient, Distributed generation, Correlation, Computer science, Spearman's rank correlation coefficient, Heuristic, Rank correlation, Reliability engineering, Sampling (signal processing), Power (physics), Statistics, Mathematics, Mathematical optimization, Monte Carlo method, Engineering, Computer vision, Geometry, Quantum mechanics, Filter (signal processing), Physics, Eigenvalues and eigenvectorsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3042860622 |
|---|---|
| doi | https://doi.org/10.1088/1742-6596/1585/1/012029 |
| ids.doi | https://doi.org/10.1088/1742-6596/1585/1/012029 |
| ids.mag | 3042860622 |
| ids.openalex | https://openalex.org/W3042860622 |
| fwci | 0.0 |
| type | article |
| title | Reliability Evaluation of Distribution System Considering Distributed Generation Correlation |
| biblio.issue | 1 |
| biblio.volume | 1585 |
| biblio.last_page | 012029 |
| biblio.first_page | 012029 |
| topics[0].id | https://openalex.org/T11941 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2213 |
| topics[0].subfield.display_name | Safety, Risk, Reliability and Quality |
| topics[0].display_name | Power System Reliability and Maintenance |
| topics[1].id | https://openalex.org/T10454 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9986000061035156 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2208 |
| topics[1].subfield.display_name | Electrical and Electronic Engineering |
| topics[1].display_name | Optimal Power Flow Distribution |
| topics[2].id | https://openalex.org/T10787 |
| topics[2].field.id | https://openalex.org/fields/31 |
| topics[2].field.display_name | Physics and Astronomy |
| topics[2].score | 0.9901000261306763 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3103 |
| topics[2].subfield.display_name | Astronomy and Astrophysics |
| topics[2].display_name | Lightning and Electromagnetic Phenomena |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C34727166 |
| concepts[0].level | 3 |
| concepts[0].score | 0.8070748448371887 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q515375 |
| concepts[0].display_name | Cholesky decomposition |
| concepts[1].id | https://openalex.org/C43214815 |
| concepts[1].level | 3 |
| concepts[1].score | 0.7131494283676147 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7310987 |
| concepts[1].display_name | Reliability (semiconductor) |
| concepts[2].id | https://openalex.org/C20820323 |
| concepts[2].level | 3 |
| concepts[2].score | 0.664612352848053 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q6496514 |
| concepts[2].display_name | Latin hypercube sampling |
| concepts[3].id | https://openalex.org/C2780092901 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5812738537788391 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3433612 |
| concepts[3].display_name | Correlation coefficient |
| concepts[4].id | https://openalex.org/C544738498 |
| concepts[4].level | 3 |
| concepts[4].score | 0.49773910641670227 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q861135 |
| concepts[4].display_name | Distributed generation |
| concepts[5].id | https://openalex.org/C117220453 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4888259768486023 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5172842 |
| concepts[5].display_name | Correlation |
| concepts[6].id | https://openalex.org/C41008148 |
| concepts[6].level | 0 |
| concepts[6].score | 0.4853626489639282 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[6].display_name | Computer science |
| concepts[7].id | https://openalex.org/C159744936 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4850575029850006 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1126730 |
| concepts[7].display_name | Spearman's rank correlation coefficient |
| concepts[8].id | https://openalex.org/C173801870 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4625816345214844 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q201413 |
| concepts[8].display_name | Heuristic |
| concepts[9].id | https://openalex.org/C101601086 |
| concepts[9].level | 2 |
| concepts[9].score | 0.45712795853614807 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q3753228 |
| concepts[9].display_name | Rank correlation |
| concepts[10].id | https://openalex.org/C200601418 |
| concepts[10].level | 1 |
| concepts[10].score | 0.4556248188018799 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2193887 |
| concepts[10].display_name | Reliability engineering |
| concepts[11].id | https://openalex.org/C140779682 |
| concepts[11].level | 3 |
| concepts[11].score | 0.425808310508728 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q210868 |
| concepts[11].display_name | Sampling (signal processing) |
| concepts[12].id | https://openalex.org/C163258240 |
| concepts[12].level | 2 |
| concepts[12].score | 0.38878777623176575 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q25342 |
| concepts[12].display_name | Power (physics) |
| concepts[13].id | https://openalex.org/C105795698 |
| concepts[13].level | 1 |
| concepts[13].score | 0.343048095703125 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[13].display_name | Statistics |
| concepts[14].id | https://openalex.org/C33923547 |
| concepts[14].level | 0 |
| concepts[14].score | 0.30954408645629883 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[14].display_name | Mathematics |
| concepts[15].id | https://openalex.org/C126255220 |
| concepts[15].level | 1 |
| concepts[15].score | 0.30866503715515137 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[15].display_name | Mathematical optimization |
| concepts[16].id | https://openalex.org/C19499675 |
| concepts[16].level | 2 |
| concepts[16].score | 0.2781662046909332 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q232207 |
| concepts[16].display_name | Monte Carlo method |
| concepts[17].id | https://openalex.org/C127413603 |
| concepts[17].level | 0 |
| concepts[17].score | 0.16064050793647766 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[17].display_name | Engineering |
| concepts[18].id | https://openalex.org/C31972630 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[18].display_name | Computer vision |
| concepts[19].id | https://openalex.org/C2524010 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[19].display_name | Geometry |
| concepts[20].id | https://openalex.org/C62520636 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[20].display_name | Quantum mechanics |
| concepts[21].id | https://openalex.org/C106131492 |
| concepts[21].level | 2 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q3072260 |
| concepts[21].display_name | Filter (signal processing) |
| concepts[22].id | https://openalex.org/C121332964 |
| concepts[22].level | 0 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[22].display_name | Physics |
| concepts[23].id | https://openalex.org/C158693339 |
| concepts[23].level | 2 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q190524 |
| concepts[23].display_name | Eigenvalues and eigenvectors |
| keywords[0].id | https://openalex.org/keywords/cholesky-decomposition |
| keywords[0].score | 0.8070748448371887 |
| keywords[0].display_name | Cholesky decomposition |
| keywords[1].id | https://openalex.org/keywords/reliability |
| keywords[1].score | 0.7131494283676147 |
| keywords[1].display_name | Reliability (semiconductor) |
| keywords[2].id | https://openalex.org/keywords/latin-hypercube-sampling |
| keywords[2].score | 0.664612352848053 |
| keywords[2].display_name | Latin hypercube sampling |
| keywords[3].id | https://openalex.org/keywords/correlation-coefficient |
| keywords[3].score | 0.5812738537788391 |
| keywords[3].display_name | Correlation coefficient |
| keywords[4].id | https://openalex.org/keywords/distributed-generation |
| keywords[4].score | 0.49773910641670227 |
| keywords[4].display_name | Distributed generation |
| keywords[5].id | https://openalex.org/keywords/correlation |
| keywords[5].score | 0.4888259768486023 |
| keywords[5].display_name | Correlation |
| keywords[6].id | https://openalex.org/keywords/computer-science |
| keywords[6].score | 0.4853626489639282 |
| keywords[6].display_name | Computer science |
| keywords[7].id | https://openalex.org/keywords/spearmans-rank-correlation-coefficient |
| keywords[7].score | 0.4850575029850006 |
| keywords[7].display_name | Spearman's rank correlation coefficient |
| keywords[8].id | https://openalex.org/keywords/heuristic |
| keywords[8].score | 0.4625816345214844 |
| keywords[8].display_name | Heuristic |
| keywords[9].id | https://openalex.org/keywords/rank-correlation |
| keywords[9].score | 0.45712795853614807 |
| keywords[9].display_name | Rank correlation |
| keywords[10].id | https://openalex.org/keywords/reliability-engineering |
| keywords[10].score | 0.4556248188018799 |
| keywords[10].display_name | Reliability engineering |
| keywords[11].id | https://openalex.org/keywords/sampling |
| keywords[11].score | 0.425808310508728 |
| keywords[11].display_name | Sampling (signal processing) |
| keywords[12].id | https://openalex.org/keywords/power |
| keywords[12].score | 0.38878777623176575 |
| keywords[12].display_name | Power (physics) |
| keywords[13].id | https://openalex.org/keywords/statistics |
| keywords[13].score | 0.343048095703125 |
| keywords[13].display_name | Statistics |
| keywords[14].id | https://openalex.org/keywords/mathematics |
| keywords[14].score | 0.30954408645629883 |
| keywords[14].display_name | Mathematics |
| keywords[15].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[15].score | 0.30866503715515137 |
| keywords[15].display_name | Mathematical optimization |
| keywords[16].id | https://openalex.org/keywords/monte-carlo-method |
| keywords[16].score | 0.2781662046909332 |
| keywords[16].display_name | Monte Carlo method |
| keywords[17].id | https://openalex.org/keywords/engineering |
| keywords[17].score | 0.16064050793647766 |
| keywords[17].display_name | Engineering |
| language | en |
| locations[0].id | doi:10.1088/1742-6596/1585/1/012029 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210187594 |
| locations[0].source.issn | 1742-6588, 1742-6596 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1742-6588 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Physics Conference Series |
| locations[0].source.host_organization | https://openalex.org/P4310320083 |
| locations[0].source.host_organization_name | IOP Publishing |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| locations[0].source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Physics: Conference Series |
| locations[0].landing_page_url | https://doi.org/10.1088/1742-6596/1585/1/012029 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5050340612 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Juqin Xuan |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210111970 |
| authorships[0].affiliations[0].raw_affiliation_string | State Grid Fujian Electric Power Co., Ltd, Fuzhou 350000, China |
| authorships[0].institutions[0].id | https://openalex.org/I4210111970 |
| authorships[0].institutions[0].ror | https://ror.org/0233jyt67 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210111970 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Fujian Electric Power Survey & Design Institute |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Juqin Xuan |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | State Grid Fujian Electric Power Co., Ltd, Fuzhou 350000, China |
| authorships[1].author.id | https://openalex.org/A5112469799 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Jieyun Zheng |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210111970 |
| authorships[1].affiliations[0].raw_affiliation_string | Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd, Fuzhou 350000, China |
| authorships[1].institutions[0].id | https://openalex.org/I4210111970 |
| authorships[1].institutions[0].ror | https://ror.org/0233jyt67 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210111970 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Fujian Electric Power Survey & Design Institute |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jieyun Zheng |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd, Fuzhou 350000, China |
| authorships[2].author.id | https://openalex.org/A5025220520 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Pengjia Shi |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210111970 |
| authorships[2].affiliations[0].raw_affiliation_string | Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd, Fuzhou 350000, China |
| authorships[2].institutions[0].id | https://openalex.org/I4210111970 |
| authorships[2].institutions[0].ror | https://ror.org/0233jyt67 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210111970 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Fujian Electric Power Survey & Design Institute |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Pengjia Shi |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd, Fuzhou 350000, China |
| authorships[3].author.id | https://openalex.org/A5106716226 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Jinpeng Chen |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I37461747 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China. |
| authorships[3].institutions[0].id | https://openalex.org/I37461747 |
| authorships[3].institutions[0].ror | https://ror.org/033vjfk17 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I37461747 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Wuhan University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jinpeng Chen |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China. |
| authorships[4].author.id | https://openalex.org/A5100551799 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Mingrong Lin |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I37461747 |
| authorships[4].affiliations[0].raw_affiliation_string | School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China. |
| authorships[4].institutions[0].id | https://openalex.org/I37461747 |
| authorships[4].institutions[0].ror | https://ror.org/033vjfk17 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I37461747 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Wuhan University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Mingrong Lin |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China. |
| authorships[5].author.id | https://openalex.org/A5012315930 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Zhijian Hu |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I37461747 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China. |
| authorships[5].institutions[0].id | https://openalex.org/I37461747 |
| authorships[5].institutions[0].ror | https://ror.org/033vjfk17 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I37461747 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Wuhan University |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Zhijian Hu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China. |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1088/1742-6596/1585/1/012029 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Reliability Evaluation of Distribution System Considering Distributed Generation Correlation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11941 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2213 |
| primary_topic.subfield.display_name | Safety, Risk, Reliability and Quality |
| primary_topic.display_name | Power System Reliability and Maintenance |
| related_works | https://openalex.org/W2096962026, https://openalex.org/W2319525095, https://openalex.org/W4251214348, https://openalex.org/W4246497475, https://openalex.org/W2368363712, https://openalex.org/W2031235730, https://openalex.org/W2153289787, https://openalex.org/W2354721754, https://openalex.org/W2562018983, https://openalex.org/W4377833676 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1088/1742-6596/1585/1/012029 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210187594 |
| best_oa_location.source.issn | 1742-6588, 1742-6596 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1742-6588 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Physics Conference Series |
| best_oa_location.source.host_organization | https://openalex.org/P4310320083 |
| best_oa_location.source.host_organization_name | IOP Publishing |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| best_oa_location.source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Physics: Conference Series |
| best_oa_location.landing_page_url | https://doi.org/10.1088/1742-6596/1585/1/012029 |
| primary_location.id | doi:10.1088/1742-6596/1585/1/012029 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210187594 |
| primary_location.source.issn | 1742-6588, 1742-6596 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1742-6588 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Physics Conference Series |
| primary_location.source.host_organization | https://openalex.org/P4310320083 |
| primary_location.source.host_organization_name | IOP Publishing |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320083, https://openalex.org/P4310311669 |
| primary_location.source.host_organization_lineage_names | IOP Publishing, Institute of Physics |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Physics: Conference Series |
| primary_location.landing_page_url | https://doi.org/10.1088/1742-6596/1585/1/012029 |
| publication_date | 2020-07-01 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2019583062, https://openalex.org/W1552829117, https://openalex.org/W2750881003, https://openalex.org/W6719795782, https://openalex.org/W2809054786, https://openalex.org/W2317714340, https://openalex.org/W2103423210, https://openalex.org/W2380845279, https://openalex.org/W2085356046, https://openalex.org/W2171596692, https://openalex.org/W2469113612 |
| referenced_works_count | 11 |
| abstract_inverted_index.DG | 37, 72 |
| abstract_inverted_index.To | 14 |
| abstract_inverted_index.an | 74 |
| abstract_inverted_index.in | 89 |
| abstract_inverted_index.is | 56, 80, 92, 105 |
| abstract_inverted_index.of | 11, 18, 41, 67, 86, 102, 112 |
| abstract_inverted_index.to | 34, 58, 108 |
| abstract_inverted_index.DG, | 113, 117 |
| abstract_inverted_index.The | 1, 46, 94 |
| abstract_inverted_index.and | 31, 82, 118 |
| abstract_inverted_index.can | 7 |
| abstract_inverted_index.the | 9, 16, 36, 42, 60, 63, 68, 83, 87, 90, 99, 103, 109, 114 |
| abstract_inverted_index.use | 22 |
| abstract_inverted_index.(DG) | 6 |
| abstract_inverted_index.load | 77, 88, 120 |
| abstract_inverted_index.mode | 66 |
| abstract_inverted_index.rank | 28 |
| abstract_inverted_index.show | 97 |
| abstract_inverted_index.that | 98 |
| abstract_inverted_index.this | 19 |
| abstract_inverted_index.used | 57 |
| abstract_inverted_index.Latin | 23 |
| abstract_inverted_index.after | 71 |
| abstract_inverted_index.first | 21 |
| abstract_inverted_index.index | 85, 101 |
| abstract_inverted_index.power | 39 |
| abstract_inverted_index.rated | 110 |
| abstract_inverted_index.affect | 8 |
| abstract_inverted_index.island | 64, 91 |
| abstract_inverted_index.obtain | 35 |
| abstract_inverted_index.output | 38 |
| abstract_inverted_index.sample | 40 |
| abstract_inverted_index.switch | 54 |
| abstract_inverted_index.system | 104 |
| abstract_inverted_index.access, | 73 |
| abstract_inverted_index.analyze | 15 |
| abstract_inverted_index.between | 3, 116 |
| abstract_inverted_index.closely | 106 |
| abstract_inverted_index.combine | 26 |
| abstract_inverted_index.factor, | 20 |
| abstract_inverted_index.failure | 55 |
| abstract_inverted_index.network | 70 |
| abstract_inverted_index.related | 107 |
| abstract_inverted_index.results | 96 |
| abstract_inverted_index.system. | 61 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Cholesky | 32 |
| abstract_inverted_index.Spearman | 27 |
| abstract_inverted_index.capacity | 111 |
| abstract_inverted_index.evaluate | 59 |
| abstract_inverted_index.improved | 75 |
| abstract_inverted_index.revised. | 93 |
| abstract_inverted_index.strategy | 79 |
| abstract_inverted_index.Hypercube | 24 |
| abstract_inverted_index.Sampling, | 25 |
| abstract_inverted_index.algorithm | 52 |
| abstract_inverted_index.different | 119 |
| abstract_inverted_index.heuristic | 76 |
| abstract_inverted_index.influence | 17 |
| abstract_inverted_index.networks. | 13 |
| abstract_inverted_index.operation | 65 |
| abstract_inverted_index.proposed, | 81 |
| abstract_inverted_index.reduction | 78, 121 |
| abstract_inverted_index.specified | 43 |
| abstract_inverted_index.structure | 49 |
| abstract_inverted_index.evaluation | 51 |
| abstract_inverted_index.generation | 5 |
| abstract_inverted_index.Considering | 62 |
| abstract_inverted_index.coefficient | 30 |
| abstract_inverted_index.considering | 53 |
| abstract_inverted_index.correlation | 2, 29, 44, 115 |
| abstract_inverted_index.distributed | 4 |
| abstract_inverted_index.reliability | 10, 50, 84, 100 |
| abstract_inverted_index.strategies. | 122 |
| abstract_inverted_index.coefficient. | 45 |
| abstract_inverted_index.distribution | 12, 69 |
| abstract_inverted_index.experimental | 95 |
| abstract_inverted_index.hierarchical | 48 |
| abstract_inverted_index.bidirectional | 47 |
| abstract_inverted_index.decomposition | 33 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.49000000953674316 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.09659924 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |