On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
As the Battery Energy Storage System (BESS) industry accelerates alongside renewable energy adoption, advanced battery management is becoming essential. While traditional Battery Management Systems (BMS) provide critical safety and operational control, they often lack precision in State of Charge (SoC) estimates and offer limited insight into long-term battery health. Predictive analytics fills these gaps by leveraging real-world data to uncover manufacturing deficiencies and enhance accuracy in SoC and State of Health (SoH) metrics. This presentation explores how predictive analytics can drive smarter, more reliable energy storage, thus empowering stakeholders to optimize battery performance in a rapidly evolving, data-driven energy landscape.
