University of Oulu

F. Li, R. Li, Z. Zhang, M. Dale, D. Tolley and P. Ahokangas, "Big Data Analytics for Flexible Energy Sharing: Accelerating a Low-Carbon Future," in IEEE Power and Energy Magazine, vol. 16, no. 3, pp. 35-42, May-June 2018. doi: 10.1109/MPE.2018.2796358

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
Publish Date: 2018-06-26
Description:

Abstract

The 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.

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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)
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