An improved measure-correlate predict algorithm for the prediction of thelong term wind climate in regions of complex environment

Project Information

Grant agreement ID: JOR3980295

Project closed

Start date 1 May 1998

End date 31 July 2000

Funded under

• Specific programme for research and technological development, including demonstration in the field of non-nuclear energy, 1994-1998

Total cost

No data

EU contribution

No data

Coordinated by

RENEWABLE ENERGY SYSTEMS LTD.
United Kingdom

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Deliverables

An improved measure-correlate predict algorithm for the prediction of the long term wind climate in regions of complex environment (NNMCP)

A MCP (measure-correlate-predict) algorithm has been developed to predict the long-term wind resource of a site (and thereby the production of a planned wind farm) based on a neureal network model. Very difficult to predict in complex terrain, so any improved algorithms will enhance the accuracy of these predictions.