Distribution of runtime of the heuristics in each scenario.
<p>Distribution of runtime of the heuristics in each scenario.</p>
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852023841524547584 |
|---|---|
| author | Guilherme Gloriano de Souza (20521868) |
| author2 | Ricardo Ribeiro dos Santos (19238869) Ruben Barros Godoy (20521871) |
| author2_role | author author |
| author_facet | Guilherme Gloriano de Souza (20521868) Ricardo Ribeiro dos Santos (19238869) Ruben Barros Godoy (20521871) |
| author_role | author |
| dc.creator.none.fl_str_mv | Guilherme Gloriano de Souza (20521868) Ricardo Ribeiro dos Santos (19238869) Ruben Barros Godoy (20521871) |
| dc.date.none.fl_str_mv | 2025-01-07T18:43:26Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0316677.g015 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Distribution_of_runtime_of_the_heuristics_in_each_scenario_/28155458 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Evolutionary Biology Ecology Developmental Biology Science Policy Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified hour availability scenario enabling better alignment 65 %, demonstrating optimizing power grids challenges electricity grids thereby making demand lcvf could play alleviate grid stress boosting energy efficiency load conservation valley increasing charging demand energy demand compared energy grids ev charging lcvf achieved lcvf ), grid stability grid capacity xlink "> study introduces side management promising method optimistic valley novel heuristic maintaining balance flexible scenarios findings indicate enhancing real electric vehicles crucial role comprehensive analysis |
| dc.title.none.fl_str_mv | Distribution of runtime of the heuristics in each scenario. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Distribution of runtime of the heuristics in each scenario.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_a3fa7559b2feaaa6cff83e0e1aa2ccdb |
| identifier_str_mv | 10.1371/journal.pone.0316677.g015 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28155458 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Distribution of runtime of the heuristics in each scenario.Guilherme Gloriano de Souza (20521868)Ricardo Ribeiro dos Santos (19238869)Ruben Barros Godoy (20521871)Evolutionary BiologyEcologyDevelopmental BiologyScience PolicyChemical Sciences not elsewhere classifiedPhysical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedhour availability scenarioenabling better alignment65 %, demonstratingoptimizing power gridschallenges electricity gridsthereby making demandlcvf could playalleviate grid stressboosting energy efficiencyload conservation valleyincreasing charging demandenergy demand comparedenergy gridsev charginglcvf achievedlcvf ),grid stabilitygrid capacityxlink ">study introducesside managementpromising methodoptimistic valleynovel heuristicmaintaining balanceflexible scenariosfindings indicateenhancing realelectric vehiclescrucial rolecomprehensive analysis<p>Distribution of runtime of the heuristics in each scenario.</p>2025-01-07T18:43:26ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0316677.g015https://figshare.com/articles/figure/Distribution_of_runtime_of_the_heuristics_in_each_scenario_/28155458CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/281554582025-01-07T18:43:26Z |
| spellingShingle | Distribution of runtime of the heuristics in each scenario. Guilherme Gloriano de Souza (20521868) Evolutionary Biology Ecology Developmental Biology Science Policy Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified hour availability scenario enabling better alignment 65 %, demonstrating optimizing power grids challenges electricity grids thereby making demand lcvf could play alleviate grid stress boosting energy efficiency load conservation valley increasing charging demand energy demand compared energy grids ev charging lcvf achieved lcvf ), grid stability grid capacity xlink "> study introduces side management promising method optimistic valley novel heuristic maintaining balance flexible scenarios findings indicate enhancing real electric vehicles crucial role comprehensive analysis |
| status_str | publishedVersion |
| title | Distribution of runtime of the heuristics in each scenario. |
| title_full | Distribution of runtime of the heuristics in each scenario. |
| title_fullStr | Distribution of runtime of the heuristics in each scenario. |
| title_full_unstemmed | Distribution of runtime of the heuristics in each scenario. |
| title_short | Distribution of runtime of the heuristics in each scenario. |
| title_sort | Distribution of runtime of the heuristics in each scenario. |
| topic | Evolutionary Biology Ecology Developmental Biology Science Policy Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified hour availability scenario enabling better alignment 65 %, demonstrating optimizing power grids challenges electricity grids thereby making demand lcvf could play alleviate grid stress boosting energy efficiency load conservation valley increasing charging demand energy demand compared energy grids ev charging lcvf achieved lcvf ), grid stability grid capacity xlink "> study introduces side management promising method optimistic valley novel heuristic maintaining balance flexible scenarios findings indicate enhancing real electric vehicles crucial role comprehensive analysis |