Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Strathclyde
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Output 0 of 0 in the submission
Article title
Distributed compression for condition monitoring of wind farms
Type
D - Journal article
Title of journal
IEEE Transactions on Sustainable Energy
Article number
-
Volume number
4
Issue number
1
First page of article
174
ISSN of journal
1949-3029
Year of publication
2012
URL
-
Number of additional authors
3
Additional information
Exploiting temporal and spatial correlation from neighbouring wind farms is presented as a graphical inference problem. This research is the first to apply Distributed Source Coding to the reduction of communications overhead in wind farm monitoring and load generation prediction. The research is applied in two recently-funded Scottish Sensor Systems (www.sensorsystems.org.uk) projects undertaken with Scottish Canals [Director of Change & Innovation, david.lamont@scottishcanals.co.uk] on exploiting correlation among soil resistivity measurements.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Centre for Intelligent and Dynamic Communications (CIDCOM)
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-