Evaluating composite approaches to modelling high-dimensional stochastic variables in power systems

@article{Sun2016EvaluatingCA,
  title={Evaluating composite approaches to modelling high-dimensional stochastic variables in power systems},
  author={Mingyang Sun and Ioannis Konstantelos and Simon H. Tindemans and Goran Strbac},
  journal={2016 Power Systems Computation Conference (PSCC)},
  year={2016},
  pages={1-8}
}
The large-scale integration of intermittent energy sources, the introduction of shiftable load elements and the growing interconnection that characterizes electricity systems worldwide have led to a significant increase of operational uncertainty. The construction of suitable statistical models is a fundamental step towards building Monte Carlo analysis frameworks to be used for exploring the uncertainty state-space and supporting real-time decision-making. The main contribution of the present… CONTINUE READING

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