We have been working with CarbonCoop (based in Manchester, UK) for a number of years on various retrofit and smart-grid monitoring projects, see our blog posts and CarbonCoop Blog posts. the CarbonCoop are doing amazing work in real world housing retrofit and smart grid research. See CarbonCoop member @zapaman’s twitter account for what this looks like in practice.
In January Carbon Coop have a masters student doing a thesis on demand/generation forecasting using machine learning algorithms. He is going to use electricity usage/generation data to predict flexibility 1-/2-/3-day ahead.
For the research we are looking for 50-200 participants to provide a emoncms.org read API key and an approximate geographical location.
The project will create a virtual community smart grid by using data collected from energy monitors and smart meters to forecast electricity demand and generation in a group of consumers using historical and live electricity and weather data. This is useful for helping to predict times when electricity demand will be matched to local and national renewable generation which is important for creating a more flexible electrical grid and increasing the utilisation of renewable energy.
The project will begin in February 2017 and we are seeking interested volunteers from amongst the Carbon Co-op membership and others to participate. Those involved will need to have an existing Open Energy Monitor or will be provided with one by Carbon Co-op at a discounted price. Results and software developed for the project will be open source and contributed back to projects like Open Energy Monitor and emoncms.
To get involved you can fill out the following simple form. Or send an email to [email protected].
Link to form: https://goo.gl/forms/H2E6lOaNPrMTlSo22