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
|Author:||Li, Furong1; Li, Ran1; Zhang, Zhipeng1;|
1University of Bath, United Kingdom
2Western Power Distribution, United Kingdom
3University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062626447
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-06-26
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.
IEEE power & energy magazine
|Pages:||35 - 42|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
222 Other engineering and technologies
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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