Journal article
Guest Editorial - Special Section on Emerging Informatics for Risk Hedging and Decision Making in Smart Grids
Hong Kong Polytechnic University1
Guangdong University of Technology2
University of Western Australia3
Department of Electrical Engineering, Technical University of Denmark4
Center for Electric Power and Energy, Centers, Technical University of Denmark5
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark6
University of Tennessee, Knoxville7
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].
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2017 |
| Pages: | 2507-2510 |
| ISSN: | 15513203 and 19410050 |
| Types: | Journal article |
| DOI: | 10.1109/TII.2017.2740319 |
| ORCIDs: | Pinson, Pierre |
