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Blog
Nov 13, 2024
Rust Implementation of OpenADR 3.0 Becomes Part of OpenLEADR
LF Energy is happy to announce today that a new Rust implementation of OpenADR 3.0 is now part of the LF Energy OpenLEADR project. OpenADR 3.0 is the latest version of the OpenADR standard that was created in 2009. According to the OpenADR Alliance, it is “designed to complement older… Read more.
Nov 13, 2024
LF Energy Summit Recap and Video: Unlocking OpenSCD: Customization, Collaboration, and Future Vision
At LF Energy Summit 2024, Tamás Russ of SprintEins presented a session on OpenSCD, a tool designed to enable fully digital substations through seamless design, commissioning, maintenance, and replacement workflows. Russ highlighted the tool’s compatibility with IEC 61850 standards and its broad utility for companies and individuals involved in substation… Read more.
Nov 12, 2024
LF Energy Summit Recap and Video: TROLIE – Establishing an Open Conformance Standard for the Exchange of Transmission Facility Ratings
At LF Energy Summit 2024 in Brussels, Minh Dupuis of GE Vernova presented a session on "TROLIE - Establishing an Open Conformance Standard for the Exchange of Transmission Facility Ratings." The presentation highlighted the importance of open and interoperable systems in the energy grid, focusing on the need for a… Read more.
Nov 11, 2024
Power Grid Model v1.10 Now Available, Adding Support for Columnar Data and Generic Branch Component Type
Linux Foundation Energy has announced the 1.10 release series of Power Grid Model (PGM), including support for columnar data and a generic branch component type. PGM is a high-performance Python/C++ library for steady-state distribution power system analysis. Details of all changes in this release follow, and the release notes are also available.… Read more.
Nov 11, 2024
LF Energy Summit Recap and Video: Machine Learning for Short-Term Demand Forecasting on the Quebec Power Grid
At LF Energy Summit 2024 in Brussels, Stéphane Dellacherie from Hydro-Quebec presented a session titled Machine Learning for Short-Term Demand Forecasting on the Quebec Power Grid. This session provided insights into the challenges and advancements in predicting energy demand, particularly in the context of Quebec’s grid, which is deeply impacted… Read more.
