EDPD’s experience with data analytics and stochastic simulation methods for risk-controlled network planning

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dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationAmberTree
dc.contributor.affiliationAmberTree
dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationAmberTree
dc.contributor.authorAguas, Andre
dc.contributor.authorPereira, Vera
dc.contributor.authorCarvalho, Pedro
dc.contributor.authorMachado, Joao
dc.contributor.authorJorge, Luisa
dc.contributor.authorPrata, Ricardo
dc.contributor.authorBento, Rui
dc.contributor.authorFerreira, Luís
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.detailedauthorAguas, Andre, EDP Distribuição, Portugal
dc.contributor.detailedauthorPereira, Vera, EDP Distribuição, Portugal
dc.contributor.detailedauthorCarvalho, Pedro, AmberTree, Portugal
dc.contributor.detailedauthorMachado, Joao, AmberTree, Portugal
dc.contributor.detailedauthorJorge, Luisa, EDP Distribuição, Portugal
dc.contributor.detailedauthorPrata, Ricardo, EDP Distribuição, Portugal
dc.contributor.detailedauthorBento, Rui, EDP Distribuição, Portugal
dc.contributor.detailedauthorFerreira, Luís, AmberTree, Portugal
dc.date.accessioned2019-12-19T18:20:18Z
dc.date.available2019-12-19T18:20:18Z
dc.date.conferencedate7 - 8 June 2018
dc.date.issued2018-06-07
dc.description.abstractWithin the framework of the Move2Future project, EDP Distribuição (EDPD) is adapting to new realities and technologies, taking advantage of the investments in AMI. In that effort, EDPD embraced the development of a comprehensive methodology to enhance the support to investment decisions, increasing responsiveness and quality of service, while controlling the associated risks. This involved developing specific data analytics approaches for synthetic load modelling based on real data and adapting planning tools to synthetize grid outcomes of such modelling as risk indices. This paper presents the main challenges related to modelling and simulation, pinpointing key issues in computing resources, algorithm design and results presentation.
dc.description.conferencelocationLjubljana, Slovenia
dc.description.conferencenameCIRED 2018 Ljubljana Workshop
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionArchitecture and system development
dc.description.sessionid2
dc.identifier.isbn978-2-9602415-1-8
dc.identifier.issn2032-9628
dc.identifier.urihttps://www.cired-repository.org/handle/20.500.12455/1154
dc.identifier.urihttp://dx.doi.org/10.34890/218
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of CIRED 2018 Ljubljana Workshop
dc.relation.ispartofseriesCIRED Workshop Proceedings
dc.titleEDPD’s experience with data analytics and stochastic simulation methods for risk-controlled network planning
dc.title.number0089
dc.typeConference Proceedings
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