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Open Source Software and Crowdsourcing for Energy Analysis

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Morgan Bazilian, Andrew Rice, Juliana Rotich, Mark Howells, Joseph DeCarolis, Stuart Macmillan, Cameron Brooks, Florian Bauer, Michael Liebreich
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This report analyzes the way in which linked open data can help in the energy modeling process for decision makers and encourage public engagement with clean energy issues. The authors survey the existing research on open-source software and crowdsourcing, and they present the potential for such platforms to develop policy-relevant analysis tools, particularly in the context of developing countries.