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

Información del proyecto

Identificador del acuerdo de subvención: JOR3980295

Proyecto cerrado

Fecha de inicio 1 Mayo 1998

Fecha de finalización 31 Julio 2000

Financiado con arreglo a

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

Coste total € 0,00

Aportación de la UE Sin datos

Coordinado por

RENEWABLE ENERGY SYSTEMS LTD.
United Kingdom

Resultado final

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.