DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Dongsik | ko |
dc.contributor.author | Eom, Jiyong | ko |
dc.contributor.author | Park, Min Jae | ko |
dc.contributor.author | Rho, Jae Jeung | ko |
dc.date.accessioned | 2016-06-28T02:06:02Z | - |
dc.date.available | 2016-06-28T02:06:02Z | - |
dc.date.created | 2016-01-19 | - |
dc.date.created | 2016-01-19 | - |
dc.date.created | 2016-01-19 | - |
dc.date.issued | 2016-01 | - |
dc.identifier.citation | ENERGY POLICY, v.88, pp.11 - 26 | - |
dc.identifier.issn | 0301-4215 | - |
dc.identifier.uri | http://hdl.handle.net/10203/208028 | - |
dc.description.abstract | To the extent that demand response represents an intentional electricity usage adjustment to price changes or incentive payments, consumers who exhibit more-variable load patterns on normal days may be capable of altering their loads more significantly in response to dynamic pricing plans. This study investigates the variation in the pre-enrollment load patterns of Korean commercial and industrial electricity customers and their impact on event-day loads during a critical peak pricing experiment in the winter of 2013. Contrary to conventional approaches to profiling electricity loads, this study proposes a new clustering technique based on variability indices that collectively represent the potential demand-response resource that these customers would supply. Our analysis reveals that variability in pre-enrollment load patterns does indeed have great predictive power for estimating their impact on demand-response loads. Customers in relatively low-variability clusters provided limited or no response, whereas customers in relatively high-variability clusters consistently presented large load impacts, accounting for most of the program-level peak reductions. This study suggests that dynamic pricing programs themselves may not offer adequate motivation for meaningful adjustments in load patterns, particularly for customers in low-variability clusters. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Variability of electricity load patterns and its effect on demand response: A critical peak pricing experiment on Korean commercial and industrial customers | - |
dc.type | Article | - |
dc.identifier.wosid | 000366766700002 | - |
dc.identifier.scopusid | 2-s2.0-84949591017 | - |
dc.type.rims | ART | - |
dc.citation.volume | 88 | - |
dc.citation.beginningpage | 11 | - |
dc.citation.endingpage | 26 | - |
dc.citation.publicationname | ENERGY POLICY | - |
dc.identifier.doi | 10.1016/j.enpol.2015.09.029 | - |
dc.contributor.localauthor | Eom, Jiyong | - |
dc.contributor.localauthor | Rho, Jae Jeung | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Demand response | - |
dc.subject.keywordAuthor | Critical peak pricing | - |
dc.subject.keywordAuthor | Variability of load patterns | - |
dc.subject.keywordAuthor | Clustering of customers | - |
dc.subject.keywordAuthor | Heterogeneity | - |
dc.subject.keywordAuthor | Load impacts | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | RECOGNITION | - |
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