Learning Centre

Privacy Enhancing Mechanisms in the Smart Grid

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Vasirani, Matteo
dc.contributor.advisor Wijaya, Kurniawan
dc.contributor.author Liassas, Georgios
dc.date.accessioned 2014-09-25T08:36:01Z
dc.date.available 2014-09-25T08:36:01Z
dc.date.issued 2013
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/14047
dc.description.abstract The Smart Grid constitutes a hot research topic, nowadays, due to the potential that is has to further improve and optimize the power generation, delivery and consumption. The set of components it is comprised of, such as the smart meters, as well as the advanced communication technologies it incorporates, renders it capable of bringing significant societal benefits and high reliability in reference with its orderly operation. An interesting technology in the context of the Smart Grid is the Demand Response. This technology attempts to change the way that the electricity customers used to perceive the power consumption by engaging them in an interaction with the energy producer. Essentially, the customers are asked to adapt their power needs based on the state of the power grid. In that way, the energy capacity or resources could be shared more efficiently and unpleasant incidents, such as power outages, could be prevented. In return, the utility company offers monetary incentives, rewarding in this way the customers' power curtailment efforts. Nevertheless, the fulfillment of the DR goals requires the exchange of information between the utility company and the customers. From the customers' point of view this interaction might be privacy invasive. Consequently, DR programs could not be widely accepted by the public before the privacy concerns are alleviated. This thesis investigates the trade off between the privacy and the efficiency of a DR mechanism by simulating the stakeholders and their interactions in a mock DR environment. en
dc.format.extent 70 s.
dc.format.mimetype application/pdf
dc.language.iso en en
dc.title Privacy Enhancing Mechanisms in the Smart Grid en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.subject.keyword smart grid en
dc.subject.keyword demand response en
dc.subject.keyword privacy en
dc.subject.keyword dynamic pricing en
dc.subject.keyword incentives en
dc.subject.keyword dirential privacy en
dc.subject.keyword aggregation en
dc.subject.keyword utility en
dc.subject.keyword Paillier en
dc.subject.keyword homomorphic en
dc.subject.keyword PET en
dc.identifier.urn URN:NBN:fi:aalto-201409252675
dc.type.dcmitype text en
dc.programme.major Tietokoneverkot fi
dc.programme.mcode T-110
dc.type.ontasot Diplomityö fi
dc.type.ontasot Master's thesis en
dc.contributor.supervisor Aura, Tuomas
dc.contributor.supervisor Probst, Christian W.
local.aalto.openaccess yes
local.aalto.digifolder Aalto_06862
dc.rights.accesslevel openAccess
local.aalto.idinssi 49705
dc.type.publication masterThesis
dc.type.okm G2 Pro gradu, diplomityö

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search archive

Advanced Search

article-iconSubmit a publication