Big data analytics for flexible energy sharing : accelerating a low-carbon future |
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Author: | Li, Furong1; Li, Ran1; Zhang, Zhipeng1; |
Organizations: |
1University of Bath, United Kingdom 2Western Power Distribution, United Kingdom 3University of Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2018062626447 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2018
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Publish Date: | 2018-06-26 |
Description: |
AbstractThe united Kingdom marked an important milestone in its transition to a low-carbon economy on 21 April 2017 (Figure 1) This was the first-ever working day in Britain without coal since the Industrial Revolution. The challenge now is to extend that single day to 365 days a year. see all
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Series: |
IEEE power & energy magazine |
ISSN: | 1540-7977 |
ISSN-E: | 1558-4216 |
ISSN-L: | 1540-7977 |
Volume: | 16 |
Issue: | 3 |
Pages: | 35 - 42 |
DOI: | 10.1109/MPE.2018.2796358 |
OADOI: | https://oadoi.org/10.1109/MPE.2018.2796358 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
511 Economics 222 Other engineering and technologies |
Subjects: | |
Funding: |
This work was supported by the EU 2020 P2P-SmarTest Project and the EP SRC Peer-to-Peer Energy Trading and Sharing-3M Project. |
EU Grant Number: |
(646469) P2P-SmarTest - Peer to Peer Smart Energy Distribution Networks (P2P-SmartTest) |
Copyright information: |
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