Correlated windpower production and electric load scenarios for investment decisions

@inproceedings{Baringo2015CorrelatedWP,
  title={Correlated windpower production and electric load scenarios for investment decisions},
  author={Luis Baringo and Antonio J. Conejo},
  year={2015}
}
Stochastic programming constitutes a useful tool to address investment problems. This technique represents uncertain input data using a set of scenarios, which should accurately describe the involved uncertainty. In this paper, we propose two alternative methodologies to efficiently generate electric load and wind-power production scenarios, which are used as input data for investment problems. The two proposed methodologies are based on the loadand wind-duration curves and on the K-means… CONTINUE READING
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