Guest Editorial - Special Section on Emerging Informatics for Risk Hedging and Decision Making in Smart Grids

Zhao Xu, Loi Lei Lai, Kit Po Wong, Pierre Pinson, Fangxing (Fran) Li

Research output: Contribution to journalEditorialResearchpeer-review

Abstract

The development of smart grids worldwide aims at tackling various challenges facing power system operation and planning due to increased penetration of many new technologies of diversified properties. On the one hand, system operators and many other participants have to deal with increased uncertainties and risks involved in daily operation and planning activities. On the other hand, applications of many new metering and measurement devices, capable of closely monitoring and sensing grid operation in real time, result in overwhelming amount of measurement data of high precision and resolution. By far, how to make the best use of the massive data remains quite a challenging task facing power system researchers and practitioners [1].
Original languageEnglish
JournalI E E E Transactions on Industrial Informatics
Volume13
Issue number5
Pages (from-to)2507-2510
ISSN1551-3203
DOIs
Publication statusPublished - 2017

Cite this

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title = "Guest Editorial - Special Section on Emerging Informatics for Risk Hedging and Decision Making in Smart Grids",
abstract = "The development of smart grids worldwide aims at tackling various challenges facing power system operation and planning due to increased penetration of many new technologies of diversified properties. On the one hand, system operators and many other participants have to deal with increased uncertainties and risks involved in daily operation and planning activities. On the other hand, applications of many new metering and measurement devices, capable of closely monitoring and sensing grid operation in real time, result in overwhelming amount of measurement data of high precision and resolution. By far, how to make the best use of the massive data remains quite a challenging task facing power system researchers and practitioners [1].",
author = "Zhao Xu and Lai, {Loi Lei} and Wong, {Kit Po} and Pierre Pinson and Li, {Fangxing (Fran)}",
year = "2017",
doi = "10.1109/TII.2017.2740319",
language = "English",
volume = "13",
pages = "2507--2510",
journal = "I E E E Transactions on Industrial Informatics",
issn = "1551-3203",
publisher = "Institute of Electrical and Electronics Engineers",
number = "5",

}

Guest Editorial - Special Section on Emerging Informatics for Risk Hedging and Decision Making in Smart Grids. / Xu, Zhao; Lai, Loi Lei; Wong, Kit Po; Pinson, Pierre; Li, Fangxing (Fran).

In: I E E E Transactions on Industrial Informatics, Vol. 13, No. 5, 2017, p. 2507-2510.

Research output: Contribution to journalEditorialResearchpeer-review

TY - JOUR

T1 - Guest Editorial - Special Section on Emerging Informatics for Risk Hedging and Decision Making in Smart Grids

AU - Xu, Zhao

AU - Lai, Loi Lei

AU - Wong, Kit Po

AU - Pinson, Pierre

AU - Li, Fangxing (Fran)

PY - 2017

Y1 - 2017

N2 - The development of smart grids worldwide aims at tackling various challenges facing power system operation and planning due to increased penetration of many new technologies of diversified properties. On the one hand, system operators and many other participants have to deal with increased uncertainties and risks involved in daily operation and planning activities. On the other hand, applications of many new metering and measurement devices, capable of closely monitoring and sensing grid operation in real time, result in overwhelming amount of measurement data of high precision and resolution. By far, how to make the best use of the massive data remains quite a challenging task facing power system researchers and practitioners [1].

AB - The development of smart grids worldwide aims at tackling various challenges facing power system operation and planning due to increased penetration of many new technologies of diversified properties. On the one hand, system operators and many other participants have to deal with increased uncertainties and risks involved in daily operation and planning activities. On the other hand, applications of many new metering and measurement devices, capable of closely monitoring and sensing grid operation in real time, result in overwhelming amount of measurement data of high precision and resolution. By far, how to make the best use of the massive data remains quite a challenging task facing power system researchers and practitioners [1].

U2 - 10.1109/TII.2017.2740319

DO - 10.1109/TII.2017.2740319

M3 - Editorial

VL - 13

SP - 2507

EP - 2510

JO - I E E E Transactions on Industrial Informatics

JF - I E E E Transactions on Industrial Informatics

SN - 1551-3203

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ER -