Modelling the user variable

Nicolò Daina ()
Additional contact information
Nicolò Daina: Imperial College London

Nature Energy, 2018, vol. 3, issue 2, 88-89

Abstract: Smart integrated transport and energy systems need to interact with end users to enable the exploitation of demand flexibility. New research shows that relying on assumptions about user behaviour, rather than on data-based empirical models, inflates the benefits of smart-charging programmes.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41560-018-0091-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natene:v:3:y:2018:i:2:d:10.1038_s41560-018-0091-6

Ordering information: This journal article can be ordered from
https://www.nature.com/nenergy/

DOI: 10.1038/s41560-018-0091-6

Access Statistics for this article

Nature Energy is currently edited by Fouad Khan

More articles in Nature Energy from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().