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Formulation for optimization under uncertainty

Cumpston, J.; Metzger, S.; Mitsos, A.


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1286788", 
  "language": "eng", 
  "title": "Formulation for optimization under uncertainty", 
  "issued": {
    "date-parts": [
      [
        2017, 
        9, 
        30
      ]
    ]
  }, 
  "abstract": "<p>The purpose of Work Package 2 is to address and overcome central algorithmic core problems in the realm of energy meteorology. The goals of the task are to:</p>\n\n<ol>\n\t<li>Further develop methodologies for optimal operation under uncertainty and for the first time apply these to renewable energy.</li>\n\t<li>Demonstrate the effect of uncertainty on optimal operation, thus setting the goals for accurately characterizing the uncertainty.</li>\n\t<li>Compare state-of-the-art weather prediction at the local scale with the ones developed, demonstrating the additional value.</li>\n</ol>", 
  "author": [
    {
      "family": "Cumpston, J."
    }, 
    {
      "family": "Metzger, S."
    }, 
    {
      "family": "Mitsos, A."
    }
  ], 
  "note": "H2020", 
  "version": "1", 
  "type": "report", 
  "id": "1286788"
}
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