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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Strathclyde

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Article title

Distributed compression for condition monitoring of wind farms

Type

D - Journal article

DOI

10.1109/TSTE.2012.2211047

Title of journal

IEEE Transactions on Sustainable Energy

Article number

Volume number

Issue number

First page of article

174

ISSN of journal

1949-3029

Year of publication

2012

URL

Number of additional authors

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

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract