The Linux Foundation Projects
Skip to main content

Blog

Apr 4, 2024

Apply to Speak at LF Energy Summit, 5-6 September in Brussels

The world is facing immense challenges to achieve decarbonization targets and prevent the worst impacts of climate change. The only way to meet these targets is to work collaboratively to develop digital technologies and standards to optimize physical infrastructure, orchestrate supply and demand, and rapidly onboard clean energy resources. LF… Read more.

Apr 1, 2024

The TROLIE Forecasting API is now Stable

This article was originally posted at TROLIE Summary The specification of the Forecasting operations in TROLIE OpenAPI specification is now considered stable, closing the associated milestone. Specifically, no further changes are anticipated to the media type schemas and resource semantics–the HTTP verbs, paths, and status codes–for submitting forecasts and retrieving forecast snapshots. We… Read more.

Mar 28, 2024

LF Energy Releases Annual Report, Exploring Community Progress in 2023

The vision of LF Energy is to create a technology ecosystem that enables decarbonization of the energy sector through innovation and interoperability. This includes the entire technology stack used by those producing, transmitting, distributing, and using energy over large grids, microgrids, distributed energy resources and storage, electric vehicles, and more.… Read more.

Mar 28, 2024

FOSDEM 2024 Recap – Power Profiling my Entire House with the Firefox Profiler

At the recent FOSDEM 2024 Energy Devroom, Florian Quèze, a performance engineer at Mozilla, captivated the audience with his session titled "Power Profiling my Entire House with the Firefox Profiler" (video follows below). In this talk, Quèze shared his fascinating journey of understanding and optimizing power consumption within his household.… Read more.

Mar 27, 2024

Beginner and Advanced OpenSTEF Workshops Now Available on Demand

On March 1st, OpenSTEF conducted workshops for both beginners and advanced users, which are now available on demand. OpenSTEF provides automated machine learning pipelines to deliver accurate, self-correcting, and explainable forecasts of the load on the grid for the next 48 hours. In the beginner workshop, the OpenSTEF community starts… Read more.