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A multi-dimensional scenario forecast approach is proposed in this paper.

The multi-dimensional scenario is generated with respect to the error distributions and the copula function.

All the complicated boundary conditions, especially in the multi-dimensional scenario, are naturally considered.

And the multi-dimensional scenario is generated with respect to the estimated marginal distributions and the copula function.

4) The multi-dimensional scenario is generated with respect to the error distributions and the copula function.  .

In this paper, a novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.

A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.

Assuming L wind farms and T look-ahead hours are considered, the dimension of one multi-dimensional scenario is K = LT.

3) Quality evaluation of multi-dimensional scenarios.

Multi-dimensional scenarios can be generated from the JCDF of the random variables.

Open image in new window Fig. 13 Generated multi-dimensional scenarios.