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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: |
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |