Smoothing Parameter Optimization Routine for High-Quality a Priori Estimates in Forecasting-Aided State Estimation

dc.contributor.author	Mojumdar, MD Rejwanur Rashid
dc.contributor.author	Cano Rodríguez, José Manuel
dc.contributor.author	Jaman, Shahid
dc.contributor.author	Alonso Orcajo, Gonzalo Arturo
dc.date.accessioned	2019-08-21T07:33:25Z
dc.date.available	2019-08-21T07:33:25Z
dc.date.issued	2018
dc.identifier.isbn	9781538677032
dc.identifier.issn	1944-9925
dc.identifier.uri	http://hdl.handle.net/10651/51948
dc.description	IEEE Power & Energy Society General Meeting (PESGM) (2018, Portland, OR, USA)
dc.description.sponsorship	This work was supported by the Spanish Ministry of Economy and Competitiveness through the National Plan for Scientific and Technical Research and Innovation under grants ENE2014-52272-R and DPI2017-89186-R.
dc.format.extent	p. 8586036-
dc.language.iso	eng
dc.relation.ispartof	IEEE Power and Energy Society General Meeting
dc.rights	© 2018 IEEE
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060796638&doi=10.1109%2fPESGM.2018.8586036&partnerID=40&md5=0b5d9f410332672d27b0834036542e63
dc.title	Smoothing Parameter Optimization Routine for High-Quality a Priori Estimates in Forecasting-Aided State Estimation
dc.type	conference output	spa
dc.identifier.doi	10.1109/PESGM.2018.8586036
dc.relation.projectID	MINECO/ENE2014-52272-R
dc.relation.projectID	MINECO/DPI2017-89186-R
dc.relation.publisherversion	http://dx.doi.org/10.1109/PESGM.2018.8586036
dc.rights.accessRights	open access
dc.type.hasVersion	AM