Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data
Abstract: Many practical time series forecasting (TSF) tasks are plagued by data limitations. To alleviate this challenge, we design a data-level augmentation framework. It involves a time series ...
This project is sponsored by Z.ai, supporting us with their GLM CODING PLAN.GLM CODING PLAN is a subscription service designed for AI coding, starting at just $3/month. It provides access to their ...
This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...
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 ...
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
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