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Open source software and crowdsourcing for energy analysis
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
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2012 (English)In: Energy Policy, ISSN 0301-4215, E-ISSN 1873-6777, Vol. 49, 149-153 p.Article in journal (Refereed) Published
Abstract [en]

Informed energy decision making requires effective software, high-quality input data, and a suitably trained user community. Developing these resources can be expensive and time consuming. Even when data and tools are intended for public re-use they often come with technical, legal, economic and social barriers that make them difficult to adopt, adapt and combine for use in new contexts. We focus on the promise of open, publically accessible software and data as well as crowdsourcing techniques to develop robust energy analysis tools that can deliver crucial, policy-relevant insight, particularly in developing countries, where planning resources are highly constrained-and the need to adapt these resources and methods to the local context is high. We survey existing research, which argues that these techniques can produce high-quality results, and also explore the potential role that linked, open data can play in both supporting the modelling process and in enhancing public engagement with energy issues.

Place, publisher, year, edition, pages
2012. Vol. 49, 149-153 p.
Keyword [en]
Energy modelling, Open source data, Crowdsourced data
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-120884DOI: 10.1016/j.enpol.2012.06.032ISI: 000309493900021Scopus ID: 2-s2.0-84866238831OAI: oai:DiVA.org:kth-120884DiVA: diva2:618304
Note

QC 20130426

Available from: 2013-04-26 Created: 2013-04-16 Last updated: 2017-12-06Bibliographically approved

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