DC Field | Value | Language |
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dc.contributor.author | Park, Jinkyoo | ko |
dc.date.accessioned | 2020-06-30T05:20:19Z | - |
dc.date.available | 2020-06-30T05:20:19Z | - |
dc.date.created | 2020-03-11 | - |
dc.date.created | 2020-03-11 | - |
dc.date.created | 2020-03-11 | - |
dc.date.issued | 2020-04 | - |
dc.identifier.citation | Sustainable Energy Technologies and Assessments, v.38 | - |
dc.identifier.issn | 2213-1388 | - |
dc.identifier.uri | http://hdl.handle.net/10203/275056 | - |
dc.description.abstract | In this study, we propose a contextual Bayesian optimization with Trust-Region (CBOTR), an extended version of Bayesian optimization (BO) that can find an optimum input of a target system (or unknown function) through the iterative learning and sampling procedure. CBOTR adds two features to BO: (1) CBOTR can take into account context information which modifies the input and output relationship of a target system, and (2) CBOTR restricts the searching space for the next input to be selected so that it can rapidly find an optimum. The results from simulation studies using a set of benchmark functions and a wind farm power simulator showed that the CBOTR algorithm can achieve an almost optimum target value by taking a small number of trial actions (samplings). The proposed algorithm particularly suits well to determine the joint optimal operational conditions of wind turbines in a wind farm for maximizing the total energy production, in that the complex interaction among wind turbines in a wind farm is difficult to model using an analytical model and one needs to find the optimum operational conditions for varying wind conditions. | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.title | Contextual Bayesian optimization with trust region (CBOTR) and its application to cooperative wind farm control in region 2 | - |
dc.type | Article | - |
dc.identifier.wosid | 000538122400006 | - |
dc.identifier.scopusid | 2-s2.0-85081136718 | - |
dc.type.rims | ART | - |
dc.citation.volume | 38 | - |
dc.citation.publicationname | Sustainable Energy Technologies and Assessments | - |
dc.identifier.doi | 10.1016/j.seta.2020.100679 | - |
dc.contributor.localauthor | Park, Jinkyoo | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Wind farm control | - |
dc.subject.keywordAuthor | Cooperative control | - |
dc.subject.keywordAuthor | Data-driven control | - |
dc.subject.keywordAuthor | Bayesian optimization | - |
dc.subject.keywordAuthor | Gaussian process | - |
dc.subject.keywordAuthor | Contextual Bayesian optimization | - |
dc.subject.keywordAuthor | Trust region | - |
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