Apr 22, 2024 · Abstract:Multivariate time series forecasting plays a crucial role in various fields such as finance, traffic management, energy, and healthcare.

Feb 17, 2024 · Multivariate Forecasting is a statistical technique to employ future values for multiple interconnected variables simultaneously.

Feb 12, 2024 · Multivariate forecasting breaks the mold of simple, single-variable predictions. While univariate methods focus on one data point at a time, multivariate ...

Nov 11, 2023 · Univariate time series forecasting involves predicting the future values of a single variable based on its past values. In the context of power and energy ...

Univariate vs Multivariate Time... · Python Implementation

Oct 5, 2023 · Multivariate forecasting is the technique of making simultaneous predictions for several variables using mathematical models and historical data. Compared to ...

Oct 9, 2023 · Such controversies significantly hinder our understanding of progress in this field. Thus, this paper aims to address these controversies to present insights ...

Jan 11, 2024 · MvTS is a systematic, comprehensive, extensible, and easy-to-use multivariate time series forecasting library, and we believe it will contribute to the research ...

May 19, 2024 · SOFT. It is designed for multivariate time series forecasting that uses STAD module to balance channel independence and correlation. This helped to achieve ...

Feb 5, 2024 · In this paper, we propose a novel extreme event adaptive gated recurrent unit called eGRU for multivariate time series data forecasting. The eGRU architecture ...