Modeling method for optimal scheduling of Park comprehensive energy source load storage and consumption considering customer portrait Article Swipe
Yang Li
,
Jinfeng Liao
,
Zongchao Yu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1051/e3sconf/202451204009
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1051/e3sconf/202451204009
Aiming at the problems of energy consumption optimization of park integrated energy source load storage system in power grid dispatching, a modeling method of park integrated energy consumption optimization dispatching considering user portrait is proposed. Firstly, an improved k-means portrait method is proposed for park users; Secondly, on the premise of considering the constraints of equipment operation in the park, cluster users in the park, and establish an energy consumption optimization scheduling model with the objective function of user satisfaction, net income of wind power consumption and equipment operation cost; Finally, SAPSO algorithm and fuzzy theory are used for decision-making. The example simulation shows that the proposed model is correct and effective, which is more precise and objective than the traditional model.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/e3sconf/202451204009
- https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdf
- OA Status
- diamond
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394697905
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394697905Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1051/e3sconf/202451204009Digital Object Identifier
- Title
-
Modeling method for optimal scheduling of Park comprehensive energy source load storage and consumption considering customer portraitWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Yang Li, Jinfeng Liao, Zongchao YuList of authors in order
- Landing page
-
https://doi.org/10.1051/e3sconf/202451204009Publisher landing page
- PDF URL
-
https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdfDirect OA link when available
- Concepts
-
Portrait, Computer science, Scheduling (production processes), Energy consumption, Consumption (sociology), Operations research, Operations management, Engineering, Art, Art history, Electrical engineering, AestheticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4394697905 |
|---|---|
| doi | https://doi.org/10.1051/e3sconf/202451204009 |
| ids.doi | https://doi.org/10.1051/e3sconf/202451204009 |
| ids.openalex | https://openalex.org/W4394697905 |
| fwci | 0.0 |
| type | article |
| title | Modeling method for optimal scheduling of Park comprehensive energy source load storage and consumption considering customer portrait |
| biblio.issue | |
| biblio.volume | 512 |
| biblio.last_page | 04009 |
| biblio.first_page | 04009 |
| topics[0].id | https://openalex.org/T10603 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.98580002784729 |
| 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 | Smart Grid Energy Management |
| topics[1].id | https://openalex.org/T14444 |
| topics[1].field.id | https://openalex.org/fields/21 |
| topics[1].field.display_name | Energy |
| topics[1].score | 0.9700000286102295 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2102 |
| topics[1].subfield.display_name | Energy Engineering and Power Technology |
| topics[1].display_name | Power Systems and Renewable Energy |
| topics[2].id | https://openalex.org/T10223 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9347000122070312 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2207 |
| topics[2].subfield.display_name | Control and Systems Engineering |
| topics[2].display_name | Microgrid Control and Optimization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C162462552 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6333495378494263 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q134307 |
| concepts[0].display_name | Portrait |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5999480485916138 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C206729178 |
| concepts[2].level | 2 |
| concepts[2].score | 0.557355523109436 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2271896 |
| concepts[2].display_name | Scheduling (production processes) |
| concepts[3].id | https://openalex.org/C2780165032 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4994544982910156 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q16869822 |
| concepts[3].display_name | Energy consumption |
| concepts[4].id | https://openalex.org/C30772137 |
| concepts[4].level | 2 |
| concepts[4].score | 0.43882840871810913 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5164762 |
| concepts[4].display_name | Consumption (sociology) |
| concepts[5].id | https://openalex.org/C42475967 |
| concepts[5].level | 1 |
| concepts[5].score | 0.38851699233055115 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q194292 |
| concepts[5].display_name | Operations research |
| concepts[6].id | https://openalex.org/C21547014 |
| concepts[6].level | 1 |
| concepts[6].score | 0.2558606266975403 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1423657 |
| concepts[6].display_name | Operations management |
| concepts[7].id | https://openalex.org/C127413603 |
| concepts[7].level | 0 |
| concepts[7].score | 0.20357778668403625 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[7].display_name | Engineering |
| concepts[8].id | https://openalex.org/C142362112 |
| concepts[8].level | 0 |
| concepts[8].score | 0.12269118428230286 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q735 |
| concepts[8].display_name | Art |
| concepts[9].id | https://openalex.org/C52119013 |
| concepts[9].level | 1 |
| concepts[9].score | 0.11244088411331177 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q50637 |
| concepts[9].display_name | Art history |
| concepts[10].id | https://openalex.org/C119599485 |
| concepts[10].level | 1 |
| concepts[10].score | 0.10703983902931213 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q43035 |
| concepts[10].display_name | Electrical engineering |
| concepts[11].id | https://openalex.org/C107038049 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q35986 |
| concepts[11].display_name | Aesthetics |
| keywords[0].id | https://openalex.org/keywords/portrait |
| keywords[0].score | 0.6333495378494263 |
| keywords[0].display_name | Portrait |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.5999480485916138 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/scheduling |
| keywords[2].score | 0.557355523109436 |
| keywords[2].display_name | Scheduling (production processes) |
| keywords[3].id | https://openalex.org/keywords/energy-consumption |
| keywords[3].score | 0.4994544982910156 |
| keywords[3].display_name | Energy consumption |
| keywords[4].id | https://openalex.org/keywords/consumption |
| keywords[4].score | 0.43882840871810913 |
| keywords[4].display_name | Consumption (sociology) |
| keywords[5].id | https://openalex.org/keywords/operations-research |
| keywords[5].score | 0.38851699233055115 |
| keywords[5].display_name | Operations research |
| keywords[6].id | https://openalex.org/keywords/operations-management |
| keywords[6].score | 0.2558606266975403 |
| keywords[6].display_name | Operations management |
| keywords[7].id | https://openalex.org/keywords/engineering |
| keywords[7].score | 0.20357778668403625 |
| keywords[7].display_name | Engineering |
| keywords[8].id | https://openalex.org/keywords/art |
| keywords[8].score | 0.12269118428230286 |
| keywords[8].display_name | Art |
| keywords[9].id | https://openalex.org/keywords/art-history |
| keywords[9].score | 0.11244088411331177 |
| keywords[9].display_name | Art history |
| keywords[10].id | https://openalex.org/keywords/electrical-engineering |
| keywords[10].score | 0.10703983902931213 |
| keywords[10].display_name | Electrical engineering |
| language | en |
| locations[0].id | doi:10.1051/e3sconf/202451204009 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210186093 |
| locations[0].source.issn | 2267-1242, 2555-0403 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2267-1242 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | E3S Web of Conferences |
| locations[0].source.host_organization | https://openalex.org/P4310319748 |
| locations[0].source.host_organization_name | EDP Sciences |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319748 |
| locations[0].source.host_organization_lineage_names | EDP Sciences |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdf |
| 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 | E3S Web of Conferences |
| locations[0].landing_page_url | https://doi.org/10.1051/e3sconf/202451204009 |
| locations[1].id | pmh:oai:doaj.org/article:1ea543ae570045b9a8dd6924a530168f |
| 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 | E3S Web of Conferences, Vol 512, p 04009 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/1ea543ae570045b9a8dd6924a530168f |
| locations[2].id | pmh:oai:edpsciences.org:dkey/10.1051/e3sconf/202451204009 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306400744 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Springer Link (Chiba Institute of Technology) |
| locations[2].source.host_organization | https://openalex.org/I8488066 |
| locations[2].source.host_organization_name | Chiba Institute of Technology |
| locations[2].source.host_organization_lineage | https://openalex.org/I8488066 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | https://doi.org/10.1051/e3sconf/202451204009 |
| locations[2].landing_page_url | |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5100658861 |
| authorships[0].author.orcid | https://orcid.org/0009-0002-9804-0555 |
| authorships[0].author.display_name | Yang Li |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210122501, https://openalex.org/I4387155567 |
| authorships[0].affiliations[0].raw_affiliation_string | Electric Power Economic Research Institute of State Grid Hunan Electric Power Co., Ltd, Hunan Key Laboratory of energy Internet supply and demand operation, Changsha 410114, China |
| authorships[0].institutions[0].id | https://openalex.org/I4387155567 |
| authorships[0].institutions[0].ror | https://ror.org/00e17m144 |
| authorships[0].institutions[0].type | company |
| authorships[0].institutions[0].lineage | https://openalex.org/I4387155567 |
| authorships[0].institutions[0].country_code | |
| authorships[0].institutions[0].display_name | State Grid Hunan Electric Power Company Limited |
| authorships[0].institutions[1].id | https://openalex.org/I4210122501 |
| authorships[0].institutions[1].ror | https://ror.org/0391pty66 |
| authorships[0].institutions[1].type | company |
| authorships[0].institutions[1].lineage | https://openalex.org/I4210122501 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Hunan Xiangdian Test Research Institute (China) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yang Li |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Electric Power Economic Research Institute of State Grid Hunan Electric Power Co., Ltd, Hunan Key Laboratory of energy Internet supply and demand operation, Changsha 410114, China |
| authorships[1].author.id | https://openalex.org/A5048048532 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8101-4030 |
| authorships[1].author.display_name | Jinfeng Liao |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210122501, https://openalex.org/I4387155567 |
| authorships[1].affiliations[0].raw_affiliation_string | Electric Power Economic Research Institute of State Grid Hunan Electric Power Co., Ltd, Hunan Key Laboratory of energy Internet supply and demand operation, Changsha 410114, China |
| authorships[1].institutions[0].id | https://openalex.org/I4387155567 |
| authorships[1].institutions[0].ror | https://ror.org/00e17m144 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I4387155567 |
| authorships[1].institutions[0].country_code | |
| authorships[1].institutions[0].display_name | State Grid Hunan Electric Power Company Limited |
| authorships[1].institutions[1].id | https://openalex.org/I4210122501 |
| authorships[1].institutions[1].ror | https://ror.org/0391pty66 |
| authorships[1].institutions[1].type | company |
| authorships[1].institutions[1].lineage | https://openalex.org/I4210122501 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Hunan Xiangdian Test Research Institute (China) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jin Liao |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Electric Power Economic Research Institute of State Grid Hunan Electric Power Co., Ltd, Hunan Key Laboratory of energy Internet supply and demand operation, Changsha 410114, China |
| authorships[2].author.id | https://openalex.org/A5040317905 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-8869-4152 |
| authorships[2].author.display_name | Zongchao Yu |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210122501, https://openalex.org/I4387155567 |
| authorships[2].affiliations[0].raw_affiliation_string | Electric Power Economic Research Institute of State Grid Hunan Electric Power Co., Ltd, Hunan Key Laboratory of energy Internet supply and demand operation, Changsha 410114, China |
| authorships[2].institutions[0].id | https://openalex.org/I4387155567 |
| authorships[2].institutions[0].ror | https://ror.org/00e17m144 |
| authorships[2].institutions[0].type | company |
| authorships[2].institutions[0].lineage | https://openalex.org/I4387155567 |
| authorships[2].institutions[0].country_code | |
| authorships[2].institutions[0].display_name | State Grid Hunan Electric Power Company Limited |
| authorships[2].institutions[1].id | https://openalex.org/I4210122501 |
| authorships[2].institutions[1].ror | https://ror.org/0391pty66 |
| authorships[2].institutions[1].type | company |
| authorships[2].institutions[1].lineage | https://openalex.org/I4210122501 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | Hunan Xiangdian Test Research Institute (China) |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Zongchao Yu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Electric Power Economic Research Institute of State Grid Hunan Electric Power Co., Ltd, Hunan Key Laboratory of energy Internet supply and demand operation, Changsha 410114, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdf |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2024-04-11T00:00:00 |
| display_name | Modeling method for optimal scheduling of Park comprehensive energy source load storage and consumption considering customer portrait |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10603 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.98580002784729 |
| 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 | Smart Grid Energy Management |
| related_works | https://openalex.org/W3169920643, https://openalex.org/W2063032739, https://openalex.org/W2360001249, https://openalex.org/W594086971, https://openalex.org/W2315550989, https://openalex.org/W2031725242, https://openalex.org/W2141684174, https://openalex.org/W2025955409, https://openalex.org/W1577301438, https://openalex.org/W4231062255 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1051/e3sconf/202451204009 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210186093 |
| best_oa_location.source.issn | 2267-1242, 2555-0403 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2267-1242 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | E3S Web of Conferences |
| best_oa_location.source.host_organization | https://openalex.org/P4310319748 |
| best_oa_location.source.host_organization_name | EDP Sciences |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319748 |
| best_oa_location.source.host_organization_lineage_names | EDP Sciences |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdf |
| 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 | E3S Web of Conferences |
| best_oa_location.landing_page_url | https://doi.org/10.1051/e3sconf/202451204009 |
| primary_location.id | doi:10.1051/e3sconf/202451204009 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210186093 |
| primary_location.source.issn | 2267-1242, 2555-0403 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2267-1242 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | E3S Web of Conferences |
| primary_location.source.host_organization | https://openalex.org/P4310319748 |
| primary_location.source.host_organization_name | EDP Sciences |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319748 |
| primary_location.source.host_organization_lineage_names | EDP Sciences |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04009.pdf |
| 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 | E3S Web of Conferences |
| primary_location.landing_page_url | https://doi.org/10.1051/e3sconf/202451204009 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2902421512, https://openalex.org/W4232868958, https://openalex.org/W125869453 |
| referenced_works_count | 3 |
| abstract_inverted_index.a | 20 |
| abstract_inverted_index.an | 36, 67 |
| abstract_inverted_index.at | 1 |
| abstract_inverted_index.in | 16, 57, 62 |
| abstract_inverted_index.is | 33, 41, 108, 113 |
| abstract_inverted_index.of | 4, 8, 23, 50, 54, 77, 82 |
| abstract_inverted_index.on | 47 |
| abstract_inverted_index.The | 100 |
| abstract_inverted_index.and | 65, 86, 93, 110, 116 |
| abstract_inverted_index.are | 96 |
| abstract_inverted_index.for | 43, 98 |
| abstract_inverted_index.net | 80 |
| abstract_inverted_index.the | 2, 48, 52, 58, 63, 74, 105, 119 |
| abstract_inverted_index.grid | 18 |
| abstract_inverted_index.load | 13 |
| abstract_inverted_index.more | 114 |
| abstract_inverted_index.park | 9, 24, 44 |
| abstract_inverted_index.than | 118 |
| abstract_inverted_index.that | 104 |
| abstract_inverted_index.used | 97 |
| abstract_inverted_index.user | 31, 78 |
| abstract_inverted_index.wind | 83 |
| abstract_inverted_index.with | 73 |
| abstract_inverted_index.SAPSO | 91 |
| abstract_inverted_index.cost; | 89 |
| abstract_inverted_index.fuzzy | 94 |
| abstract_inverted_index.model | 72, 107 |
| abstract_inverted_index.park, | 59, 64 |
| abstract_inverted_index.power | 17, 84 |
| abstract_inverted_index.shows | 103 |
| abstract_inverted_index.users | 61 |
| abstract_inverted_index.which | 112 |
| abstract_inverted_index.Aiming | 0 |
| abstract_inverted_index.energy | 5, 11, 26, 68 |
| abstract_inverted_index.income | 81 |
| abstract_inverted_index.method | 22, 40 |
| abstract_inverted_index.model. | 121 |
| abstract_inverted_index.source | 12 |
| abstract_inverted_index.system | 15 |
| abstract_inverted_index.theory | 95 |
| abstract_inverted_index.users; | 45 |
| abstract_inverted_index.cluster | 60 |
| abstract_inverted_index.correct | 109 |
| abstract_inverted_index.example | 101 |
| abstract_inverted_index.k-means | 38 |
| abstract_inverted_index.precise | 115 |
| abstract_inverted_index.premise | 49 |
| abstract_inverted_index.storage | 14 |
| abstract_inverted_index.Finally, | 90 |
| abstract_inverted_index.Firstly, | 35 |
| abstract_inverted_index.function | 76 |
| abstract_inverted_index.improved | 37 |
| abstract_inverted_index.modeling | 21 |
| abstract_inverted_index.portrait | 32, 39 |
| abstract_inverted_index.problems | 3 |
| abstract_inverted_index.proposed | 42, 106 |
| abstract_inverted_index.Secondly, | 46 |
| abstract_inverted_index.algorithm | 92 |
| abstract_inverted_index.equipment | 55, 87 |
| abstract_inverted_index.establish | 66 |
| abstract_inverted_index.objective | 75, 117 |
| abstract_inverted_index.operation | 56, 88 |
| abstract_inverted_index.proposed. | 34 |
| abstract_inverted_index.effective, | 111 |
| abstract_inverted_index.integrated | 10, 25 |
| abstract_inverted_index.scheduling | 71 |
| abstract_inverted_index.simulation | 102 |
| abstract_inverted_index.considering | 30, 51 |
| abstract_inverted_index.constraints | 53 |
| abstract_inverted_index.consumption | 6, 27, 69, 85 |
| abstract_inverted_index.dispatching | 29 |
| abstract_inverted_index.traditional | 120 |
| abstract_inverted_index.dispatching, | 19 |
| abstract_inverted_index.optimization | 7, 28, 70 |
| abstract_inverted_index.satisfaction, | 79 |
| abstract_inverted_index.decision-making. | 99 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5100658861 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I4210122501, https://openalex.org/I4387155567 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.04366135 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |