Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control Article Swipe
Dexu Zou
,
Xinyu Sun
,
Hao Quan
,
Jianhua Yin
,
Qingjun Peng
,
Shan Wang
,
Weiju Dai
,
Zhihu Hong
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/sym16060679
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/sym16060679
The operational stability of a power transformer exerts an extremely important impact on the power symmetry, balance, and security of power systems. When the grid load fluctuates greatly, if the load factor of the transformer cannot be maintained within a reasonable range, it leads to increased instability in grid operation. Adjusting the transformer capacity based on load changes is of great significance. The existing control methods for on-load capacity-regulating (OLCR) transformers have low timeliness, and the daily switching frequency of the capacity-regulating switch is not controlled. To ensure the safe and stable operation of transformers, this paper proposes a control method for OLCR transformers based on load prediction and fuzzy control. Firstly, the operating principle of OLCR transformers is analyzed, and a multi-strategy enhanced dung beetle optimizer (MSDBO) combined with a CNN−LSTM model is proposed for load forecasting. On this basis, the daily switching frequency of the capacity-regulating transformer is introduced, and hesitant fuzzy control is used to select the optimal capacity-regulating strategy relying on three factors: loss, economy, and switching frequency. Finally, simulation models are constructed using the MATLAB/SIMULINK platform and simulation analysis is conducted to verify the effectiveness and superiority of the proposed control method. For the three scenarios in this paper, the method reduces daily power loss by 28.5% to 56.3% and daily operating costs by 25.4% to 50.8%. The method used in this paper can sacrifice 3.5% to 9.2% of the loss reduction capability in exchange for reducing the number of switch operations by 28.6% to 57.1%, significantly extending the lifespan of the switches and thereby increasing the operational lifespan of the transformer.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/sym16060679
- https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994
- OA Status
- gold
- Cited By
- 3
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399285390
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4399285390Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/sym16060679Digital Object Identifier
- Title
-
Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy ControlWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-01Full publication date if available
- Authors
-
Dexu Zou, Xinyu Sun, Hao Quan, Jianhua Yin, Qingjun Peng, Shan Wang, Weiju Dai, Zhihu HongList of authors in order
- Landing page
-
https://doi.org/10.3390/sym16060679Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994Direct OA link when available
- Concepts
-
Transformer, Computer science, Fuzzy logic, Grid, MATLAB, Control theory (sociology), Reliability engineering, Automotive engineering, Control (management), Engineering, Electrical engineering, Voltage, Artificial intelligence, Mathematics, Geometry, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
-
8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4399285390 |
|---|---|
| doi | https://doi.org/10.3390/sym16060679 |
| ids.doi | https://doi.org/10.3390/sym16060679 |
| ids.openalex | https://openalex.org/W4399285390 |
| fwci | 1.10750542 |
| type | article |
| title | Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control |
| biblio.issue | 6 |
| biblio.volume | 16 |
| biblio.last_page | 679 |
| biblio.first_page | 679 |
| topics[0].id | https://openalex.org/T11343 |
| 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/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | Power Transformer Diagnostics and Insulation |
| topics[1].id | https://openalex.org/T11052 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9914000034332275 |
| 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 | Energy Load and Power Forecasting |
| topics[2].id | https://openalex.org/T10573 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9794999957084656 |
| 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 Quality and Harmonics |
| is_xpac | False |
| apc_list.value | 2000 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2165 |
| apc_paid.value | 2000 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2165 |
| concepts[0].id | https://openalex.org/C66322947 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6667373180389404 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11658 |
| concepts[0].display_name | Transformer |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6233835816383362 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C58166 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5550197958946228 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q224821 |
| concepts[2].display_name | Fuzzy logic |
| concepts[3].id | https://openalex.org/C187691185 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5093353986740112 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2020720 |
| concepts[3].display_name | Grid |
| concepts[4].id | https://openalex.org/C2780365114 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4996333122253418 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q169478 |
| concepts[4].display_name | MATLAB |
| concepts[5].id | https://openalex.org/C47446073 |
| concepts[5].level | 3 |
| concepts[5].score | 0.4171319007873535 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5165890 |
| concepts[5].display_name | Control theory (sociology) |
| concepts[6].id | https://openalex.org/C200601418 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3587934970855713 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2193887 |
| concepts[6].display_name | Reliability engineering |
| concepts[7].id | https://openalex.org/C171146098 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3350633382797241 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q124192 |
| concepts[7].display_name | Automotive engineering |
| concepts[8].id | https://openalex.org/C2775924081 |
| concepts[8].level | 2 |
| concepts[8].score | 0.25738775730133057 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q55608371 |
| concepts[8].display_name | Control (management) |
| concepts[9].id | https://openalex.org/C127413603 |
| concepts[9].level | 0 |
| concepts[9].score | 0.21824181079864502 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[9].display_name | Engineering |
| concepts[10].id | https://openalex.org/C119599485 |
| concepts[10].level | 1 |
| concepts[10].score | 0.1327514350414276 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[10].display_name | Electrical engineering |
| concepts[11].id | https://openalex.org/C165801399 |
| concepts[11].level | 2 |
| concepts[11].score | 0.12002229690551758 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q25428 |
| concepts[11].display_name | Voltage |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.09924840927124023 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.09232720732688904 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C2524010 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[14].display_name | Geometry |
| concepts[15].id | https://openalex.org/C111919701 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[15].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/transformer |
| keywords[0].score | 0.6667373180389404 |
| keywords[0].display_name | Transformer |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6233835816383362 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/fuzzy-logic |
| keywords[2].score | 0.5550197958946228 |
| keywords[2].display_name | Fuzzy logic |
| keywords[3].id | https://openalex.org/keywords/grid |
| keywords[3].score | 0.5093353986740112 |
| keywords[3].display_name | Grid |
| keywords[4].id | https://openalex.org/keywords/matlab |
| keywords[4].score | 0.4996333122253418 |
| keywords[4].display_name | MATLAB |
| keywords[5].id | https://openalex.org/keywords/control-theory |
| keywords[5].score | 0.4171319007873535 |
| keywords[5].display_name | Control theory (sociology) |
| keywords[6].id | https://openalex.org/keywords/reliability-engineering |
| keywords[6].score | 0.3587934970855713 |
| keywords[6].display_name | Reliability engineering |
| keywords[7].id | https://openalex.org/keywords/automotive-engineering |
| keywords[7].score | 0.3350633382797241 |
| keywords[7].display_name | Automotive engineering |
| keywords[8].id | https://openalex.org/keywords/control |
| keywords[8].score | 0.25738775730133057 |
| keywords[8].display_name | Control (management) |
| keywords[9].id | https://openalex.org/keywords/engineering |
| keywords[9].score | 0.21824181079864502 |
| keywords[9].display_name | Engineering |
| keywords[10].id | https://openalex.org/keywords/electrical-engineering |
| keywords[10].score | 0.1327514350414276 |
| keywords[10].display_name | Electrical engineering |
| keywords[11].id | https://openalex.org/keywords/voltage |
| keywords[11].score | 0.12002229690551758 |
| keywords[11].display_name | Voltage |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.09924840927124023 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/mathematics |
| keywords[13].score | 0.09232720732688904 |
| keywords[13].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.3390/sym16060679 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S190787756 |
| locations[0].source.issn | 2073-8994 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2073-8994 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Symmetry |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994 |
| 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 | Symmetry |
| locations[0].landing_page_url | https://doi.org/10.3390/sym16060679 |
| locations[1].id | pmh:oai:doaj.org/article:24418cb797b44dc0bf6b8f48775db1c3 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Symmetry, Vol 16, Iss 6, p 679 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/24418cb797b44dc0bf6b8f48775db1c3 |
| locations[2].id | pmh:oai:mdpi.com:/2073-8994/16/6/679/ |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400947 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | True |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | MDPI (MDPI AG) |
| locations[2].source.host_organization | https://openalex.org/I4210097602 |
| locations[2].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[2].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Symmetry |
| locations[2].landing_page_url | https://dx.doi.org/10.3390/sym16060679 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5013601615 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Dexu Zou |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I158842170 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Electrical Engineering, Chongqing University, Chongqing 400044, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I74872605 |
| authorships[0].affiliations[1].raw_affiliation_string | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[0].institutions[0].id | https://openalex.org/I74872605 |
| authorships[0].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[0].institutions[1].id | https://openalex.org/I158842170 |
| authorships[0].institutions[1].ror | https://ror.org/023rhb549 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I158842170 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Chongqing University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Dexu Zou |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China, School of Electrical Engineering, Chongqing University, Chongqing 400044, China |
| authorships[1].author.id | https://openalex.org/A5068445951 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5537-9623 |
| authorships[1].author.display_name | Xinyu Sun |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I36399199 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China |
| authorships[1].institutions[0].id | https://openalex.org/I36399199 |
| authorships[1].institutions[0].ror | https://ror.org/00xp9wg62 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I36399199 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Nanjing University of Science and Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xinyu Sun |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China |
| authorships[2].author.id | https://openalex.org/A5028566448 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8723-7796 |
| authorships[2].author.display_name | Hao Quan |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I36399199 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China |
| authorships[2].institutions[0].id | https://openalex.org/I36399199 |
| authorships[2].institutions[0].ror | https://ror.org/00xp9wg62 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I36399199 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Nanjing University of Science and Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Hao Quan |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China |
| authorships[3].author.id | https://openalex.org/A5091126463 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4534-9439 |
| authorships[3].author.display_name | Jianhua Yin |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I36399199 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China |
| authorships[3].institutions[0].id | https://openalex.org/I36399199 |
| authorships[3].institutions[0].ror | https://ror.org/00xp9wg62 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I36399199 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Nanjing University of Science and Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Jianhua Yin |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China |
| authorships[4].author.id | https://openalex.org/A5049258548 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0026-5733 |
| authorships[4].author.display_name | Qingjun Peng |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[4].affiliations[0].raw_affiliation_string | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[4].institutions[0].id | https://openalex.org/I74872605 |
| authorships[4].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[4].institutions[0].type | company |
| authorships[4].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Qingjun Peng |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[5].author.id | https://openalex.org/A5100388429 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-2435-3260 |
| authorships[5].author.display_name | Shan Wang |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[5].affiliations[0].raw_affiliation_string | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[5].institutions[0].id | https://openalex.org/I74872605 |
| authorships[5].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[5].institutions[0].type | company |
| authorships[5].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Shan Wang |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[6].author.id | https://openalex.org/A5062811202 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Weiju Dai |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[6].affiliations[0].raw_affiliation_string | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[6].institutions[0].id | https://openalex.org/I74872605 |
| authorships[6].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[6].institutions[0].type | company |
| authorships[6].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Weiju Dai |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[7].author.id | https://openalex.org/A5070218530 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Zhihu Hong |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I74872605 |
| authorships[7].affiliations[0].raw_affiliation_string | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| authorships[7].institutions[0].id | https://openalex.org/I74872605 |
| authorships[7].institutions[0].ror | https://ror.org/03hkh9419 |
| authorships[7].institutions[0].type | company |
| authorships[7].institutions[0].lineage | https://openalex.org/I74872605 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | China Southern Power Grid (China) |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Zhihu Hong |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Electric Power Research Institute, China Southern Power Grid Yunnan Power Grid Co., Ltd., Kunming 650217, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11343 |
| 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/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | Power Transformer Diagnostics and Insulation |
| related_works | https://openalex.org/W4251298892, https://openalex.org/W2356013541, https://openalex.org/W2385444679, https://openalex.org/W3133868776, https://openalex.org/W144391745, https://openalex.org/W2360644005, https://openalex.org/W2350667299, https://openalex.org/W2365027229, https://openalex.org/W4229851301, https://openalex.org/W2349721879 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| locations_count | 3 |
| best_oa_location.id | doi:10.3390/sym16060679 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S190787756 |
| best_oa_location.source.issn | 2073-8994 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2073-8994 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Symmetry |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994 |
| 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 | Symmetry |
| best_oa_location.landing_page_url | https://doi.org/10.3390/sym16060679 |
| primary_location.id | doi:10.3390/sym16060679 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S190787756 |
| primary_location.source.issn | 2073-8994 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2073-8994 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Symmetry |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2073-8994/16/6/679/pdf?version=1717227994 |
| 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 | Symmetry |
| primary_location.landing_page_url | https://doi.org/10.3390/sym16060679 |
| publication_date | 2024-06-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4386231694, https://openalex.org/W2376266967, https://openalex.org/W2383695181, https://openalex.org/W2380705566, https://openalex.org/W4220738746, https://openalex.org/W2316951643, https://openalex.org/W2363627763, https://openalex.org/W2354912402 |
| referenced_works_count | 8 |
| abstract_inverted_index.a | 4, 39, 98, 121, 130 |
| abstract_inverted_index.On | 138 |
| abstract_inverted_index.To | 86 |
| abstract_inverted_index.an | 8 |
| abstract_inverted_index.be | 36 |
| abstract_inverted_index.by | 210, 218, 247 |
| abstract_inverted_index.if | 28 |
| abstract_inverted_index.in | 47, 201, 225, 238 |
| abstract_inverted_index.is | 58, 83, 118, 133, 149, 155, 184 |
| abstract_inverted_index.it | 42 |
| abstract_inverted_index.of | 3, 19, 32, 59, 79, 93, 115, 145, 192, 233, 244, 255, 264 |
| abstract_inverted_index.on | 12, 55, 105, 164 |
| abstract_inverted_index.to | 44, 157, 186, 212, 220, 231, 249 |
| abstract_inverted_index.For | 197 |
| abstract_inverted_index.The | 0, 62, 222 |
| abstract_inverted_index.and | 17, 74, 90, 108, 120, 151, 169, 181, 190, 214, 258 |
| abstract_inverted_index.are | 175 |
| abstract_inverted_index.can | 228 |
| abstract_inverted_index.for | 66, 101, 135, 240 |
| abstract_inverted_index.low | 72 |
| abstract_inverted_index.not | 84 |
| abstract_inverted_index.the | 13, 23, 29, 33, 51, 75, 80, 88, 112, 141, 146, 159, 178, 188, 193, 198, 204, 234, 242, 253, 256, 261, 265 |
| abstract_inverted_index.3.5% | 230 |
| abstract_inverted_index.9.2% | 232 |
| abstract_inverted_index.OLCR | 102, 116 |
| abstract_inverted_index.When | 22 |
| abstract_inverted_index.dung | 124 |
| abstract_inverted_index.grid | 24, 48 |
| abstract_inverted_index.have | 71 |
| abstract_inverted_index.load | 25, 30, 56, 106, 136 |
| abstract_inverted_index.loss | 209, 235 |
| abstract_inverted_index.safe | 89 |
| abstract_inverted_index.this | 95, 139, 202, 226 |
| abstract_inverted_index.used | 156, 224 |
| abstract_inverted_index.with | 129 |
| abstract_inverted_index.25.4% | 219 |
| abstract_inverted_index.28.5% | 211 |
| abstract_inverted_index.28.6% | 248 |
| abstract_inverted_index.56.3% | 213 |
| abstract_inverted_index.based | 54, 104 |
| abstract_inverted_index.costs | 217 |
| abstract_inverted_index.daily | 76, 142, 207, 215 |
| abstract_inverted_index.fuzzy | 109, 153 |
| abstract_inverted_index.great | 60 |
| abstract_inverted_index.leads | 43 |
| abstract_inverted_index.loss, | 167 |
| abstract_inverted_index.model | 132 |
| abstract_inverted_index.paper | 96, 227 |
| abstract_inverted_index.power | 5, 14, 20, 208 |
| abstract_inverted_index.three | 165, 199 |
| abstract_inverted_index.using | 177 |
| abstract_inverted_index.(OLCR) | 69 |
| abstract_inverted_index.50.8%. | 221 |
| abstract_inverted_index.57.1%, | 250 |
| abstract_inverted_index.basis, | 140 |
| abstract_inverted_index.beetle | 125 |
| abstract_inverted_index.cannot | 35 |
| abstract_inverted_index.ensure | 87 |
| abstract_inverted_index.exerts | 7 |
| abstract_inverted_index.factor | 31 |
| abstract_inverted_index.impact | 11 |
| abstract_inverted_index.method | 100, 205, 223 |
| abstract_inverted_index.models | 174 |
| abstract_inverted_index.number | 243 |
| abstract_inverted_index.paper, | 203 |
| abstract_inverted_index.range, | 41 |
| abstract_inverted_index.select | 158 |
| abstract_inverted_index.stable | 91 |
| abstract_inverted_index.switch | 82, 245 |
| abstract_inverted_index.verify | 187 |
| abstract_inverted_index.within | 38 |
| abstract_inverted_index.(MSDBO) | 127 |
| abstract_inverted_index.changes | 57 |
| abstract_inverted_index.control | 64, 99, 154, 195 |
| abstract_inverted_index.method. | 196 |
| abstract_inverted_index.methods | 65 |
| abstract_inverted_index.on-load | 67 |
| abstract_inverted_index.optimal | 160 |
| abstract_inverted_index.reduces | 206 |
| abstract_inverted_index.relying | 163 |
| abstract_inverted_index.thereby | 259 |
| abstract_inverted_index.Finally, | 172 |
| abstract_inverted_index.Firstly, | 111 |
| abstract_inverted_index.analysis | 183 |
| abstract_inverted_index.balance, | 16 |
| abstract_inverted_index.capacity | 53 |
| abstract_inverted_index.combined | 128 |
| abstract_inverted_index.control. | 110 |
| abstract_inverted_index.economy, | 168 |
| abstract_inverted_index.enhanced | 123 |
| abstract_inverted_index.exchange | 239 |
| abstract_inverted_index.existing | 63 |
| abstract_inverted_index.factors: | 166 |
| abstract_inverted_index.greatly, | 27 |
| abstract_inverted_index.hesitant | 152 |
| abstract_inverted_index.lifespan | 254, 263 |
| abstract_inverted_index.platform | 180 |
| abstract_inverted_index.proposed | 134, 194 |
| abstract_inverted_index.proposes | 97 |
| abstract_inverted_index.reducing | 241 |
| abstract_inverted_index.security | 18 |
| abstract_inverted_index.strategy | 162 |
| abstract_inverted_index.switches | 257 |
| abstract_inverted_index.systems. | 21 |
| abstract_inverted_index.Adjusting | 50 |
| abstract_inverted_index.analyzed, | 119 |
| abstract_inverted_index.conducted | 185 |
| abstract_inverted_index.extending | 252 |
| abstract_inverted_index.extremely | 9 |
| abstract_inverted_index.frequency | 78, 144 |
| abstract_inverted_index.important | 10 |
| abstract_inverted_index.increased | 45 |
| abstract_inverted_index.operating | 113, 216 |
| abstract_inverted_index.operation | 92 |
| abstract_inverted_index.optimizer | 126 |
| abstract_inverted_index.principle | 114 |
| abstract_inverted_index.reduction | 236 |
| abstract_inverted_index.sacrifice | 229 |
| abstract_inverted_index.scenarios | 200 |
| abstract_inverted_index.stability | 2 |
| abstract_inverted_index.switching | 77, 143, 170 |
| abstract_inverted_index.symmetry, | 15 |
| abstract_inverted_index.CNN−LSTM | 131 |
| abstract_inverted_index.capability | 237 |
| abstract_inverted_index.fluctuates | 26 |
| abstract_inverted_index.frequency. | 171 |
| abstract_inverted_index.increasing | 260 |
| abstract_inverted_index.maintained | 37 |
| abstract_inverted_index.operation. | 49 |
| abstract_inverted_index.operations | 246 |
| abstract_inverted_index.prediction | 107 |
| abstract_inverted_index.reasonable | 40 |
| abstract_inverted_index.simulation | 173, 182 |
| abstract_inverted_index.constructed | 176 |
| abstract_inverted_index.controlled. | 85 |
| abstract_inverted_index.instability | 46 |
| abstract_inverted_index.introduced, | 150 |
| abstract_inverted_index.operational | 1, 262 |
| abstract_inverted_index.superiority | 191 |
| abstract_inverted_index.timeliness, | 73 |
| abstract_inverted_index.transformer | 6, 34, 52, 148 |
| abstract_inverted_index.forecasting. | 137 |
| abstract_inverted_index.transformer. | 266 |
| abstract_inverted_index.transformers | 70, 103, 117 |
| abstract_inverted_index.effectiveness | 189 |
| abstract_inverted_index.significance. | 61 |
| abstract_inverted_index.significantly | 251 |
| abstract_inverted_index.transformers, | 94 |
| abstract_inverted_index.multi-strategy | 122 |
| abstract_inverted_index.MATLAB/SIMULINK | 179 |
| abstract_inverted_index.capacity-regulating | 68, 81, 147, 161 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5028566448 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I36399199 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.73374325 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |