Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315694816> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4315694816 abstract "The increasing uncertainties caused by the high-penetration of stochastic renewable generation resources poses a significant threat to the power system voltage stability. To address this issue, this paper proposes a probabilistic deep kernel learning enabled surrogate model to extract the hidden relationship between uncertain sources, i.e., wind power and loads, and load margin for probabilistic load margin assessment (PLMA). Unlike other deep learning approaches, a kernel SHAP provides the sensitivity analysis as well as interpretability of the inputs to outputs influences. This allows identifying the critical factors that affect load margin so that corrective control can be initiated for stability enhancement. Numerical results carried out on the IEEE 118-bus power system demonstrate the accuracy and efficiency of the proposed data-driven PLMA scheme." @default.
- W4315694816 created "2023-01-12" @default.
- W4315694816 creator A5042402520 @default.
- W4315694816 creator A5045990469 @default.
- W4315694816 creator A5072545319 @default.
- W4315694816 creator A5089160061 @default.
- W4315694816 date "2022-11-01" @default.
- W4315694816 modified "2023-09-26" @default.
- W4315694816 title "Interpretable Data-Driven Probabilistic Power System Load Margin Assessment with Uncertain Renewable Energy and Loads" @default.
- W4315694816 cites W1530492451 @default.
- W4315694816 cites W1578978182 @default.
- W4315694816 cites W1992793114 @default.
- W4315694816 cites W2017108743 @default.
- W4315694816 cites W2102608475 @default.
- W4315694816 cites W2314191254 @default.
- W4315694816 cites W2780946931 @default.
- W4315694816 cites W2906129354 @default.
- W4315694816 cites W3019024606 @default.
- W4315694816 cites W3095988529 @default.
- W4315694816 cites W3116765929 @default.
- W4315694816 doi "https://doi.org/10.1109/isgtasia54193.2022.10003627" @default.
- W4315694816 hasPublicationYear "2022" @default.
- W4315694816 type Work @default.
- W4315694816 citedByCount "0" @default.
- W4315694816 crossrefType "proceedings-article" @default.
- W4315694816 hasAuthorship W4315694816A5042402520 @default.
- W4315694816 hasAuthorship W4315694816A5045990469 @default.
- W4315694816 hasAuthorship W4315694816A5072545319 @default.
- W4315694816 hasAuthorship W4315694816A5089160061 @default.
- W4315694816 hasConcept C119599485 @default.
- W4315694816 hasConcept C119857082 @default.
- W4315694816 hasConcept C121332964 @default.
- W4315694816 hasConcept C127413603 @default.
- W4315694816 hasConcept C154945302 @default.
- W4315694816 hasConcept C163258240 @default.
- W4315694816 hasConcept C188573790 @default.
- W4315694816 hasConcept C200601418 @default.
- W4315694816 hasConcept C2775924081 @default.
- W4315694816 hasConcept C2781067378 @default.
- W4315694816 hasConcept C41008148 @default.
- W4315694816 hasConcept C47446073 @default.
- W4315694816 hasConcept C49937458 @default.
- W4315694816 hasConcept C62520636 @default.
- W4315694816 hasConcept C774472 @default.
- W4315694816 hasConcept C78600449 @default.
- W4315694816 hasConcept C89227174 @default.
- W4315694816 hasConceptScore W4315694816C119599485 @default.
- W4315694816 hasConceptScore W4315694816C119857082 @default.
- W4315694816 hasConceptScore W4315694816C121332964 @default.
- W4315694816 hasConceptScore W4315694816C127413603 @default.
- W4315694816 hasConceptScore W4315694816C154945302 @default.
- W4315694816 hasConceptScore W4315694816C163258240 @default.
- W4315694816 hasConceptScore W4315694816C188573790 @default.
- W4315694816 hasConceptScore W4315694816C200601418 @default.
- W4315694816 hasConceptScore W4315694816C2775924081 @default.
- W4315694816 hasConceptScore W4315694816C2781067378 @default.
- W4315694816 hasConceptScore W4315694816C41008148 @default.
- W4315694816 hasConceptScore W4315694816C47446073 @default.
- W4315694816 hasConceptScore W4315694816C49937458 @default.
- W4315694816 hasConceptScore W4315694816C62520636 @default.
- W4315694816 hasConceptScore W4315694816C774472 @default.
- W4315694816 hasConceptScore W4315694816C78600449 @default.
- W4315694816 hasConceptScore W4315694816C89227174 @default.
- W4315694816 hasFunder F4320306084 @default.
- W4315694816 hasLocation W43156948161 @default.
- W4315694816 hasOpenAccess W4315694816 @default.
- W4315694816 hasPrimaryLocation W43156948161 @default.
- W4315694816 hasRelatedWork W1557887524 @default.
- W4315694816 hasRelatedWork W2014369546 @default.
- W4315694816 hasRelatedWork W2062423859 @default.
- W4315694816 hasRelatedWork W2078302367 @default.
- W4315694816 hasRelatedWork W2091172698 @default.
- W4315694816 hasRelatedWork W2091972860 @default.
- W4315694816 hasRelatedWork W2133172823 @default.
- W4315694816 hasRelatedWork W2158109766 @default.
- W4315694816 hasRelatedWork W3119198967 @default.
- W4315694816 hasRelatedWork W4315694816 @default.
- W4315694816 isParatext "false" @default.
- W4315694816 isRetracted "false" @default.
- W4315694816 workType "article" @default.