https://peertube.watch/videos/watch/41f6f60f-637b-4950-94a8-a485b6193652 The energy transition poses new challenges to all parties in the energy sector. For grid operators, the rise in renewable energy and electrification of energy consumption leads to the capacity of the grid to near its physical constraints. Forecasting the load on the grid in the next hours to days is essential for anticipating on local congestion and making the most of existing assets. OpenSTEF provides a complete software stack which forecasts the load on the electricity grid for the next hours to days. Given a timeseries of measured (net) load or generation, a fully automated machine learning pipeline is executed which delivers a probabilistic forecast of future load. During this presentation, the implementation of OpenSTEF to fully automatically forecast the load on the grid at the Dutch Distributed System Operator will be shown. Furthermore, the community built around OpenSTEF will be discussed. Take a look at the OpenSTEF website and Github. Speaker: Jonita Ruiter, Track: Energy: Reimagining this Ecosystem through Open Source devroom, Room: H.2214, When: Saturday 3 February 2024, 13:20–13:35 (Brussels time), Schedule: FOSDEM 2024 event page, Slides & links Slides presentation, Licence: Creative Commons Attribution 2.0 Belgium (CC BY 2.0 BE) (as stated in the FOSDEM video archive). Attribution: “OpenSTEF: Opensource Short Term Energy Forecasting” by Jonita Ruiter, FOSDEM 2024. Original recording: 2024/h2214/fosdem-2024-2211-openstef-opensource-short-term-energy-forecasting.av1.webm from the FOSDEM video archive. This channel is an unofficial mirror; FOSDEM is a free and non-commercial event organised by the community for the community. Mon, 19 Oct 2026 21:51:02 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peertube.watch https://peertube.watch/lazy-static/avatars/3b284627-b75f-409e-ac2e-10f4c2946f43.png https://peertube.watch/videos/watch/41f6f60f-637b-4950-94a8-a485b6193652 All rights reserved, unless otherwise specified in the terms specified at https://peertube.watch/about and potential licenses granted by each content's rightholder.