FlexMeasures ― optimize flexible energy demand, in Python

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Hi, this is for everybody who is interested in clean tech, especially real-time automation within new energy systems. We've been working on FlexMeasures for a while ― an energy management system (EMS) with a focus on using demand flexibility to its maximum potential. We're running it in several pilots ourselves, but our aim is to speed up the energy transition across the world. Let's not re-invent the wheel (i.e. a software stack around time series and optimization) too many times. Wherever you are in the world, and whatever setting you might be looking at (energy-modern housing in the U.S., smart e-mobility in Africa, self-balancing microgrids in Indonesia, etc.), maybe some of you will like our approach. We've decided that making it easy and clear for developers to build such energy solutions can bring the largest gains. The first step towards that goal was a permissive license (Apache 2.0). The latest step we took was a Docker image (we got a Docker-based tutorial here: https://flexmeasures.readthedocs.io/en/latest/tut/toy-exampl... ). You can see the code at https://github.com/FlexMeasures/flexmeasures Since recently, FlexMeasures is a project within the Linux Energy Foundation ( https://www.lfenergy.org/projects/flexmeasures/ ), which helps to establish a proper governance and quality standard. Actually, upcoming Thursday is our next Technical Steering Committee meeting, and interested people are warmly invited: Thursday, June 16 at 8:00 am US Pacific Time / 11:00 am US Eastern time / 5:00 pm Central European Time https://meet.google.com/cyu-inss-oik We'd love to hear from you!

Visit product View on Hacker NewsJun 13, 2022

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