This is work in progress and supposed to become a link list to sources of open energy related data. We focus on collecting links to data relevant for the modelling of energy and electricity systems and markets.
You are welcome to fill in the missing spots and non-existing pages. Also, you are welcome to extend the list of relevant data that we should collect links to in the future.
Model relelvant data
Please note that red links indicate planned, but not yet filled pages. You are welcome to start creating the missing pages and breathe life into them.
Various other open energy data sources
- Enipedia (TU Delft) is an active exploration into the applications of wikis and the semantic web for energy and industry issues.
- Energypedia is a wiki platform for collaborative knowledge exchange on renewable energy and energy access issues in the context of development cooperation.
- reegle is a data provider of country energy profiles, energy statistics and a directory of relevant stakeholders. It also offers the clean energy search and an extensive glossary. There is also an insightful clean energy blog with interesting and up-to-date background information.
- IEA ETSAP energy technology data source (E-Tech-DS) is a series of four-page technology briefs similar to the IEA Energy Technology Essentials (filter for "essentials"). The page contains short technical descriptions of 29 energy related technologies from power production, synthesised fuels, and fossil fuel production.
- OpenEI features a wiki of crowd-sourced energy information and a database of single source data on buildings, energy, efficiency, consumption, demand, potential.
Data sharing techniques
Sometimes used: GitHub repositories. A fun example is the Bundesgit, a collection of all German federal laws under version control. New laws or modfications are tracked as commits, allowing to "see" how a dataset -- laws, in that case -- evolve over time. The repository openmundi/world.db shows a more data-focused way of using Git, or GitHub, for collaborative collection of data. However, it clearly shows the limitations of using a version control system for code on data.
An upcoming and (technically) promising project is dat, which "is a version-controlled, decentralized data tool for collaboration between data people and data systems." Or, simply: Git for data. It is currently in public beta test, but has come a long way already.
Feel free to add scripts here, by creating a new wiki page, or place them on Github Gists.
