Big Data Analytics for Flexible Energy Sharing: Accelerating a Low-Carbon Future

Furong Li; Ran Li; Zhipeng Zhang; Mark Dale; David  Tolley; Petri Ahokangas

doi:10.1109/MPE.2018.2796358

Big Data Analytics for Flexible Energy Sharing: Accelerating a Low-Carbon Future

Furong Li, Ran Li, Zhipeng Zhang, Mark Dale, David Tolley, Petri Ahokangas

Research output: Contribution to journal › Article

5 Citations (Scopus)

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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.

Original language	English
Pages (from-to)	35-42
Number of pages	8
Journal	IEEE Power and Energy Magazine
Volume	16
Issue number	3
DOIs	https://doi.org/10.1109/MPE.2018.2796358
Publication status	Published - 1 May 2018

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Cite this

Li, F., Li, R., Zhang, Z., Dale, M., Tolley, D., & Ahokangas, P. (2018). Big Data Analytics for Flexible Energy Sharing: Accelerating a Low-Carbon Future. IEEE Power and Energy Magazine, 16(3), 35-42. https://doi.org/10.1109/MPE.2018.2796358

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Access to Document

10.1109/MPE.2018.2796358

Big_Data_Analytics_for_a_Flexible_Sharing_Energy_System_Accelerating_a_Low_Carbon_Future_final
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Link to publication in Scopus