A Multi-Task End-to-End Multivariate Long-Sequence Time Series Prediction Model for Load Forecasting
Abstract: With the increasing complexity of the power system, and the growing global demand for electricity, accurate and effective forecasting of electricity load, electricity prices, and related ...
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Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight ...
Two WarGames matches and John Cena’s final PLE match are set for WWE Survivor Series: WarGames 2025 at Petco Park in San Diego. An unlikely quintet will enter the unforgiving steel cage when ...
Ant International currently deploys the Falcon TST AI Model to forecast cashflow and FX exposure with more than 90% accuracy Ant International, a leading global digital payment, digitisation, and ...
Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...
The Los Angeles Dodgers and their superstar Shohei Ohtani began this season as the biggest World Series championship favorite since the 2002 New York Yankees, and that's largely held. The Dodgers have ...
Kairos is a flexible time series foundation model designed to handle the dynamic and heterogeneous nature of real-world time series data. Unlike existing models that rely on rigid, non-adaptive ...
In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...
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