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dc.contributor.advisorSara Fisher Ellison.en_US
dc.contributor.authorRodriguez Jimenez, William A. Rodriguez.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-12-05T18:10:15Z
dc.date.available2019-12-05T18:10:15Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123201
dc.descriptionThesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 41-42).en_US
dc.description.abstractDemand for electricity has been increasing in recent years, bolstered by growing adoption of electric vehicles (EVs). To smooth demand at peak periods, under demand response or "smart-charging" programs, power utilities can make electric vehicles extend or delay their charging. An EV owner can save money on their power bill by opting in to such programs. However, it is not well known if EV owners would actually be willing to opt-in, given the radically different refueling model between non-EVs and EVs. This investigation attempts to better understand EV owners' preferences towards enrolling in a particular smart charging program. I do this by constructing an adaptive contingent valuation survey that assesses savings amounts, among other variables. Through this method, I am able to quantify that more than half of EV owners are willing to participate in "smart-charging" for low monthly savings of five dollars or less.en_US
dc.description.statementofresponsibilityby William A. Rodriguez Jimenez.en_US
dc.format.extent42 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleUnderstanding EV owners' preferences towards enrolling in smart charging programsen_US
dc.title.alternativeUnderstanding electric vehicle owners' preferences towards enrolling in smart charging programsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Computer Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1128868322en_US
dc.description.collectionM.Eng.inComputerScienceandEngineering Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-12-05T18:10:14Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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