Multi-objective configuration method for series compensation devices based on source-grid coordinated optimization under renewable energy integration Article Swipe
Han Zhang
,
Jun Yan
,
Junjie Lan
,
Guozheng Kang
,
Xiang Ju
,
Jinlin Wei
,
Cheng Yang
,
Jun Ruan
,
Yuan Zhou
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/3079/1/012045
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/3079/1/012045
With the large-scale integration of renewable energy into power grids, its impact on system voltage stability has become increasingly significant, posing potential threats to grid security. While deploying series compensation (SC) devices can effectively enhance transmission capacity, achieving optimal SC configuration to maximize their efficacy remains a critical technical challenge. This study proposes a power system SC optimization method based on a random-weight Particle Swarm Optimization (PSO) algorithm. First, an in-depth analysis of power flow distribution is conducted after SC integration. Second, a multi-objective optimization model for SC configuration is established, considering voltage stability enhancement, transmission loss reduction, and cost-effectiveness. Finally, the model is solved using the random-weight PSO algorithm. Simulation tests on the IEEE 30-bus system demonstrate that optimized SC capacity allocation and placement significantly improve voltage quality and reduce network losses by 12.7% compared to conventional configurations. This research provides a robust solution for SC sizing and siting in power systems, offering both theoretical guidance and practical value for grid planning and operation.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/3079/1/012045
- OA Status
- diamond
- References
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413153670
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4413153670Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/3079/1/012045Digital Object Identifier
- Title
-
Multi-objective configuration method for series compensation devices based on source-grid coordinated optimization under renewable energy integrationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-08-01Full publication date if available
- Authors
-
Han Zhang, Jun Yan, Junjie Lan, Guozheng Kang, Xiang Ju, Jinlin Wei, Cheng Yang, Jun Ruan, Yuan ZhouList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/3079/1/012045Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1742-6596/3079/1/012045Direct OA link when available
- Concepts
-
Renewable energy, Compensation (psychology), Series (stratigraphy), Grid, Computer science, Mathematical optimization, Electrical engineering, Engineering, Mathematics, Geology, Psychology, Geometry, Paleontology, PsychoanalysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
1Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4413153670 |
|---|---|
| doi | https://doi.org/10.1088/1742-6596/3079/1/012045 |
| ids.doi | https://doi.org/10.1088/1742-6596/3079/1/012045 |
| ids.openalex | https://openalex.org/W4413153670 |
| fwci | 0.0 |
| type | article |
| title | Multi-objective configuration method for series compensation devices based on source-grid coordinated optimization under renewable energy integration |
| biblio.issue | 1 |
| biblio.volume | 3079 |
| biblio.last_page | 012045 |
| biblio.first_page | 012045 |
| topics[0].id | https://openalex.org/T10972 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9994999766349792 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2207 |
| topics[0].subfield.display_name | Control and Systems Engineering |
| topics[0].display_name | Power Systems Fault Detection |
| topics[1].id | https://openalex.org/T11102 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9984999895095825 |
| 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 | HVDC Systems and Fault Protection |
| topics[2].id | https://openalex.org/T10305 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9976999759674072 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Power System Optimization and Stability |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C188573790 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7424646019935608 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q12705 |
| concepts[0].display_name | Renewable energy |
| concepts[1].id | https://openalex.org/C2780023022 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6513264775276184 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1338171 |
| concepts[1].display_name | Compensation (psychology) |
| concepts[2].id | https://openalex.org/C143724316 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6390455961227417 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q312468 |
| concepts[2].display_name | Series (stratigraphy) |
| concepts[3].id | https://openalex.org/C187691185 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6261163949966431 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2020720 |
| concepts[3].display_name | Grid |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.5470188856124878 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C126255220 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3276973366737366 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[5].display_name | Mathematical optimization |
| concepts[6].id | https://openalex.org/C119599485 |
| concepts[6].level | 1 |
| concepts[6].score | 0.23122426867485046 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[6].display_name | Electrical engineering |
| concepts[7].id | https://openalex.org/C127413603 |
| concepts[7].level | 0 |
| concepts[7].score | 0.18592610955238342 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[7].display_name | Engineering |
| concepts[8].id | https://openalex.org/C33923547 |
| concepts[8].level | 0 |
| concepts[8].score | 0.14022868871688843 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[8].display_name | Mathematics |
| concepts[9].id | https://openalex.org/C127313418 |
| concepts[9].level | 0 |
| concepts[9].score | 0.06353577971458435 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[9].display_name | Geology |
| concepts[10].id | https://openalex.org/C15744967 |
| concepts[10].level | 0 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[10].display_name | Psychology |
| concepts[11].id | https://openalex.org/C2524010 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[11].display_name | Geometry |
| concepts[12].id | https://openalex.org/C151730666 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[12].display_name | Paleontology |
| concepts[13].id | https://openalex.org/C11171543 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q41630 |
| concepts[13].display_name | Psychoanalysis |
| keywords[0].id | https://openalex.org/keywords/renewable-energy |
| keywords[0].score | 0.7424646019935608 |
| keywords[0].display_name | Renewable energy |
| keywords[1].id | https://openalex.org/keywords/compensation |
| keywords[1].score | 0.6513264775276184 |
| keywords[1].display_name | Compensation (psychology) |
| keywords[2].id | https://openalex.org/keywords/series |
| keywords[2].score | 0.6390455961227417 |
| keywords[2].display_name | Series (stratigraphy) |
| keywords[3].id | https://openalex.org/keywords/grid |
| keywords[3].score | 0.6261163949966431 |
| keywords[3].display_name | Grid |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.5470188856124878 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[5].score | 0.3276973366737366 |
| keywords[5].display_name | Mathematical optimization |
| keywords[6].id | https://openalex.org/keywords/electrical-engineering |
| keywords[6].score | 0.23122426867485046 |
| keywords[6].display_name | Electrical engineering |
| keywords[7].id | https://openalex.org/keywords/engineering |
| keywords[7].score | 0.18592610955238342 |
| keywords[7].display_name | Engineering |
| keywords[8].id | https://openalex.org/keywords/mathematics |
| keywords[8].score | 0.14022868871688843 |
| keywords[8].display_name | Mathematics |
| keywords[9].id | https://openalex.org/keywords/geology |
| keywords[9].score | 0.06353577971458435 |
| keywords[9].display_name | Geology |
| language | en |
| locations[0].id | doi:10.1088/1742-6596/3079/1/012045 |
| 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/10.1088/1742-6596/3079/1/012045 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5100399277 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-0171-0819 |
| authorships[0].author.display_name | Han Zhang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Han Zhang |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5031604343 |
| authorships[1].author.orcid | https://orcid.org/0009-0009-2532-7468 |
| authorships[1].author.display_name | Jun Yan |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jun Yan |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5088778610 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2177-4799 |
| authorships[2].author.display_name | Junjie Lan |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Junjie Lan |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5080733637 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7554-8965 |
| authorships[3].author.display_name | Guozheng Kang |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kang Guo |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5102148840 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Xiang Ju |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Xiang Ju |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5035819037 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Jinlin Wei |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jinlin Wei |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5010449128 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2618-4787 |
| authorships[6].author.display_name | Cheng Yang |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Cheng Yang |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5109142551 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Jun Ruan |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Jun Ruan |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5101963023 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-0646-5859 |
| authorships[8].author.display_name | Yuan Zhou |
| authorships[8].author_position | last |
| authorships[8].raw_author_name | Yuan Zhou |
| authorships[8].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1088/1742-6596/3079/1/012045 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Multi-objective configuration method for series compensation devices based on source-grid coordinated optimization under renewable energy integration |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10972 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9994999766349792 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2207 |
| primary_topic.subfield.display_name | Control and Systems Engineering |
| primary_topic.display_name | Power Systems Fault Detection |
| related_works | https://openalex.org/W2379084545, https://openalex.org/W1919101720, https://openalex.org/W2365687337, https://openalex.org/W2358180351, https://openalex.org/W3017124762, https://openalex.org/W2392368077, https://openalex.org/W4390822878, https://openalex.org/W3097919110, https://openalex.org/W2365082216, https://openalex.org/W2710710002 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1088/1742-6596/3079/1/012045 |
| 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/10.1088/1742-6596/3079/1/012045 |
| primary_location.id | doi:10.1088/1742-6596/3079/1/012045 |
| 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/10.1088/1742-6596/3079/1/012045 |
| publication_date | 2025-08-01 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2594876511 |
| referenced_works_count | 1 |
| abstract_inverted_index.a | 47, 54, 62, 83, 143 |
| abstract_inverted_index.SC | 40, 57, 80, 88, 121, 147 |
| abstract_inverted_index.an | 70 |
| abstract_inverted_index.by | 134 |
| abstract_inverted_index.in | 151 |
| abstract_inverted_index.is | 77, 90, 104 |
| abstract_inverted_index.of | 5, 73 |
| abstract_inverted_index.on | 13, 61, 113 |
| abstract_inverted_index.to | 24, 42, 137 |
| abstract_inverted_index.PSO | 109 |
| abstract_inverted_index.and | 99, 124, 130, 149, 158, 164 |
| abstract_inverted_index.can | 33 |
| abstract_inverted_index.for | 87, 146, 161 |
| abstract_inverted_index.has | 17 |
| abstract_inverted_index.its | 11 |
| abstract_inverted_index.the | 2, 102, 107, 114 |
| abstract_inverted_index.(SC) | 31 |
| abstract_inverted_index.IEEE | 115 |
| abstract_inverted_index.This | 51, 140 |
| abstract_inverted_index.With | 1 |
| abstract_inverted_index.both | 155 |
| abstract_inverted_index.flow | 75 |
| abstract_inverted_index.grid | 25, 162 |
| abstract_inverted_index.into | 8 |
| abstract_inverted_index.loss | 97 |
| abstract_inverted_index.that | 119 |
| abstract_inverted_index.(PSO) | 67 |
| abstract_inverted_index.12.7% | 135 |
| abstract_inverted_index.Swarm | 65 |
| abstract_inverted_index.While | 27 |
| abstract_inverted_index.after | 79 |
| abstract_inverted_index.based | 60 |
| abstract_inverted_index.model | 86, 103 |
| abstract_inverted_index.power | 9, 55, 74, 152 |
| abstract_inverted_index.study | 52 |
| abstract_inverted_index.tests | 112 |
| abstract_inverted_index.their | 44 |
| abstract_inverted_index.using | 106 |
| abstract_inverted_index.value | 160 |
| abstract_inverted_index.30-bus | 116 |
| abstract_inverted_index.First, | 69 |
| abstract_inverted_index.become | 18 |
| abstract_inverted_index.energy | 7 |
| abstract_inverted_index.grids, | 10 |
| abstract_inverted_index.impact | 12 |
| abstract_inverted_index.losses | 133 |
| abstract_inverted_index.method | 59 |
| abstract_inverted_index.posing | 21 |
| abstract_inverted_index.reduce | 131 |
| abstract_inverted_index.robust | 144 |
| abstract_inverted_index.series | 29 |
| abstract_inverted_index.siting | 150 |
| abstract_inverted_index.sizing | 148 |
| abstract_inverted_index.solved | 105 |
| abstract_inverted_index.system | 14, 56, 117 |
| abstract_inverted_index.Second, | 82 |
| abstract_inverted_index.devices | 32 |
| abstract_inverted_index.enhance | 35 |
| abstract_inverted_index.improve | 127 |
| abstract_inverted_index.network | 132 |
| abstract_inverted_index.optimal | 39 |
| abstract_inverted_index.quality | 129 |
| abstract_inverted_index.remains | 46 |
| abstract_inverted_index.threats | 23 |
| abstract_inverted_index.voltage | 15, 93, 128 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 101 |
| abstract_inverted_index.Particle | 64 |
| abstract_inverted_index.analysis | 72 |
| abstract_inverted_index.capacity | 122 |
| abstract_inverted_index.compared | 136 |
| abstract_inverted_index.critical | 48 |
| abstract_inverted_index.efficacy | 45 |
| abstract_inverted_index.guidance | 157 |
| abstract_inverted_index.in-depth | 71 |
| abstract_inverted_index.maximize | 43 |
| abstract_inverted_index.offering | 154 |
| abstract_inverted_index.planning | 163 |
| abstract_inverted_index.proposes | 53 |
| abstract_inverted_index.provides | 142 |
| abstract_inverted_index.research | 141 |
| abstract_inverted_index.solution | 145 |
| abstract_inverted_index.systems, | 153 |
| abstract_inverted_index.achieving | 38 |
| abstract_inverted_index.capacity, | 37 |
| abstract_inverted_index.conducted | 78 |
| abstract_inverted_index.deploying | 28 |
| abstract_inverted_index.optimized | 120 |
| abstract_inverted_index.placement | 125 |
| abstract_inverted_index.potential | 22 |
| abstract_inverted_index.practical | 159 |
| abstract_inverted_index.renewable | 6 |
| abstract_inverted_index.security. | 26 |
| abstract_inverted_index.stability | 16, 94 |
| abstract_inverted_index.technical | 49 |
| abstract_inverted_index.Simulation | 111 |
| abstract_inverted_index.algorithm. | 68, 110 |
| abstract_inverted_index.allocation | 123 |
| abstract_inverted_index.challenge. | 50 |
| abstract_inverted_index.operation. | 165 |
| abstract_inverted_index.reduction, | 98 |
| abstract_inverted_index.considering | 92 |
| abstract_inverted_index.demonstrate | 118 |
| abstract_inverted_index.effectively | 34 |
| abstract_inverted_index.integration | 4 |
| abstract_inverted_index.large-scale | 3 |
| abstract_inverted_index.theoretical | 156 |
| abstract_inverted_index.Optimization | 66 |
| abstract_inverted_index.compensation | 30 |
| abstract_inverted_index.conventional | 138 |
| abstract_inverted_index.distribution | 76 |
| abstract_inverted_index.enhancement, | 95 |
| abstract_inverted_index.established, | 91 |
| abstract_inverted_index.increasingly | 19 |
| abstract_inverted_index.integration. | 81 |
| abstract_inverted_index.optimization | 58, 85 |
| abstract_inverted_index.significant, | 20 |
| abstract_inverted_index.transmission | 36, 96 |
| abstract_inverted_index.configuration | 41, 89 |
| abstract_inverted_index.random-weight | 63, 108 |
| abstract_inverted_index.significantly | 126 |
| abstract_inverted_index.configurations. | 139 |
| abstract_inverted_index.multi-objective | 84 |
| abstract_inverted_index.cost-effectiveness. | 100 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.42623299 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |