A case based reasoning data fusion scheme: application to offshore wind energy resource mapping

Abstract

A data fusion scheme is proposed for wind energy resource mapping at high spatial resolution. The resource assessment is based on wind speed and direction measurements. Remotely sensed data is a solution to get wind observations offshore. However, high spatial resolution data do not have a sufficient repetitiveness to establish reliable wind energy resource maps. The scheme proposed in this paper uses these measurements as typical situations which have to be merged with low spatial resolution data having a sufficient temporal repetitiveness. The fusion process builds a library of typical cases. To these typical cases are associated typical fields representing the information to be merged with the corresponding low spatial resolution data. In this paper, we give, firstly, the general fusion scheme. Then, we present the different tools needed by this process. We focus particularly on the definition of the typical situations. The retrieval of these situations is achieved by a classification process. Finally, some prospects are given