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

doi:10.1109/TII.2017.2740319

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 journal › Editorial › peer-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 language	English
Journal	IEEE Transactions on Industrial Informatics
Volume	13
Issue number	5
Pages (from-to)	2507-2510
ISSN	1551-3203
DOIs	https://doi.org/10.1109/TII.2017.2740319 https://doi.org/10.1109/TII.2017.2740319
Publication status	Published - 2017

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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].",

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

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