EcoHome Lab: Machine Learning and SmartGrids

This month Gonxo will introduce us to the work he is doing with Carbon Co-op about machine learning applied to households. The idea is to be able to predict when and how much will be the demand and combine it with predicted availability of different sources of energy in order to take the right decisions.

We are excited about this new project and are sure it will be a great contribution to the development of Green Shift, Carbon Co-op smart grid project as part of Nobel Grid.

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Now in our regular monthly slot - every second Thursday of the month at MadLab (https://madlab.org.uk/). A hangout for people taking control of their home energy usage and generation. We use open-source hardware and software to gain a better understanding of energy in our homes, how to make the best use of the energy we generate and reduce energy wasted.

This is a CarbonCo-op (http://carbon.coop/) initiative working close together with OpenEnergyMonitor (https://openenergymonitor.org).

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Topics will include:

• Home energy monitoring.

• House energy performance assessment

• Sensors - electricity, gas, temperature, humidity, air quality...

• User interfaces, dashboards

• Smart houses and automation

• Aggregation of data sources

• Taking the power back! - Making better use of the surplus power we generate

Who is it for?

• Anyone with skills in physical electronics, web development or programming who wants to use that knowledge to reduce energy and carbon!

• There will be open space for small groups to focus on adding new sensors or hacking the user interface, there will always be a 'newbies' group for people interested in finding out more.