Imperial College London
Portrait Picture

ProfessorDenizGunduz

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor in Information Processing
 
 
 
//

Contact

 

+44 (0)20 7594 6218d.gunduz Website

 
 
//

Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
//

Location

 

1016Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Giaconi:2018:10.1109/MSP.2018.2841410,
author = {Giaconi, G and Gunduz, D and Poor, HV},
doi = {10.1109/MSP.2018.2841410},
journal = {IEEE Signal Processing Magazine},
pages = {59--78},
title = {Privacy-aware smart metering progress and challenges},
url = {http://dx.doi.org/10.1109/MSP.2018.2841410},
volume = {35},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The next-generation energy network, the so-called smart grid (SG), promises tremendous increases in efficiency, safety, and flexibility in managing the electricity grid as compared to the legacy energy network. This is needed today more than ever, as global energy consumption is growing at an unprecedented rate and renewable energy sources (RESs) must be seamlessly integrated into the grid to assure a sustainable human development.
AU  - Giaconi,G
AU  - Gunduz,D
AU  - Poor,HV
DO  - 10.1109/MSP.2018.2841410
EP  - 78
PY  - 2018///
SN  - 1053-5888
SP  - 59
TI  - Privacy-aware smart metering progress and challenges
T2  - IEEE Signal Processing Magazine
UR  - http://dx.doi.org/10.1109/MSP.2018.2841410
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000450235600007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/68223
VL  - 35
ER  -
Download