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We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.

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Title: We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.
Authors: Shipman, Rob1, rob.shipman@nottingham.ac.uk, Roberts, Rebecca2, rebecca.roberts@kearney.com, Waldron, Julie1, julie.waldron@nottingham.ac.uk, Naylor, Sophie1, sophie.naylor@nottingham.ac.uk, Pinchin, James3, james.pinchin@nottingham.ac.uk, Rodrigues, Lucelia1, lucelia.rodrigues@nottingham.ac.uk, Gillott, Mark1, mark.gillott@nottingham.ac.uk
Source: Energy; Apr2021, Vol. 221, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 149293620
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.
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  Data: <searchLink fieldCode="AU" term="%22Shipman%2C+Rob%22">Shipman, Rob</searchLink><relatesTo>1</relatesTo>, <i>rob.shipman@nottingham.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Roberts%2C+Rebecca%22">Roberts, Rebecca</searchLink><relatesTo>2</relatesTo>, <i>rebecca.roberts@kearney.com</i><br /><searchLink fieldCode="AU" term="%22Waldron%2C+Julie%22">Waldron, Julie</searchLink><relatesTo>1</relatesTo>, <i>julie.waldron@nottingham.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Naylor%2C+Sophie%22">Naylor, Sophie</searchLink><relatesTo>1</relatesTo>, <i>sophie.naylor@nottingham.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Pinchin%2C+James%22">Pinchin, James</searchLink><relatesTo>3</relatesTo>, <i>james.pinchin@nottingham.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Rodrigues%2C+Lucelia%22">Rodrigues, Lucelia</searchLink><relatesTo>1</relatesTo>, <i>lucelia.rodrigues@nottingham.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Gillott%2C+Mark%22">Gillott, Mark</searchLink><relatesTo>1</relatesTo>, <i>mark.gillott@nottingham.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>; Apr2021, Vol. 221, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=149293620
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.energy.2021.119813
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      – Code: eng
        Text: English
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      – TitleFull: We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.
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              Text: Apr2021
              Type: published
              Y: 2021
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