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CaReCur
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          <span>California Renewable Curtailments  documentation</span></a></h1>
        <h2 class="heading"><span>References</span></h2>
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<p id="bibtex-bibliography-zreferences-0"><dl class="citation">
<dt class="bibtex label" id="californiaiso2017a"><span class="brackets">CAI17a</span></dt>
<dd><p>CAISO. Fast Facts - Impacts of renewable energy on grid operations. 2017. URL: <a class="reference external" href="https://www.caiso.com/documents/curtailmentfastfacts.pdf">https://www.caiso.com/documents/curtailmentfastfacts.pdf</a>.</p>
</dd>
<dt class="bibtex label" id="californiaiso2017"><span class="brackets">CAI17b</span></dt>
<dd><p>CAISO. ManagingOversupply-Solutions. 2017. URL: <a class="reference external" href="http://www.caiso.com/Documents/ManagingOversupply-Solutions.pdf">http://www.caiso.com/Documents/ManagingOversupply-Solutions.pdf</a>.</p>
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<dt class="bibtex label" id="scikit-learn"><span class="brackets">PVG+11</span></dt>
<dd><p>F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. Scikit-learn: machine learning in Python. <em>Journal of Machine Learning Research</em>, 12:2825–2830, 2011.</p>
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