『Abstract
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 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 result, 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.
Keywords: Energy modelling; Open source data; Crowdsourced data』
1. Introduction
2. Open data
3. Crowdsourcing
4. Open energy tools
5. Education and capacity building
6. Conclusion
7. Disclaimer
Acknowledgements
References