In Part 1 of this series, we introduced Chronos-2, a time-series foundation model. We got our hands dirty by walking through a real case study and saw what Chronos-2 can do straight out of the box, with no training.
By Shuai Guo
arXiv:2608.24303v1 Announce Type: new
Abstract: Transitioning from bespoke time series models towards time series foundation models changes the relationship of model and application from one-to-one t...
By Mathis Jander, Wouter van Heeswijk, Martijn Mes
How should we ensemble time-series forecasts better? The post Information Theory and Ensemble Models appeared first on Towards Data Science .
By Vedant Bedi
arXiv:2606. 07457v1 Announce Type: new Abstract: At commissioning time, Photovoltaic (PV) operators must forecast production before target-site observations are available, limiting the direct use of standard supervised forecasters.
By Lorenzo Longarini, Alessandro Rongoni, Simone Silenzi, Emanuele Frontoni, Riccardo Rosati
An open, 2. 8-trillion-parameter model shipped with 47 pages of its own recipe.
By Sean Moran
Aurora 1. 5 adds 22 more variables, hourly temporal resolution, and probabilistic ensemble forecasting to the Aurora foundation model, making it more useful for real-world weather, climate, and energy applications.
By Kenji Takeda, Haiyu Dong, Jonathan Weyn, Amit Misra, Matt Corey, Kevin White, Shannon Monroe, Juan M. Lavista Ferres, Ashley Llorens, Bonnie Kruft