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

Western Power Distribution
University of Oulu

Research output: Contribution to journal › Article › peer-review

12 Citations (SciVal)

383 Downloads (Pure)

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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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Accepted author manuscript, 1.55 MB

Cite this

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title = "Big Data Analytics for Flexible Energy Sharing: Accelerating a Low-Carbon Future",

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

Abstract

UN SDGs

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

ECONOMICALLY EFFICIENT NETWORK CHARGING METHODOLOGY FOR A SY STEM WITH SIGNIFICANT INTERMITTENT GENERATION - ARF

Cite this

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

Abstract

UN SDGs

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

ECONOMICALLY EFFICIENT NETWORK CHARGING METHODOLOGY FOR A SY STEM WITH SIGNIFICANT INTERMITTENT GENERATION - ARF

Cite this