GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...

Understanding Base Periods: Definition, Function, and Examples

Discover how base periods serve as benchmarks to analyze variable changes over time. Learn their role in economics and finance, and see practical examples.

Understanding Strategic Gap Analysis: Definition, Process, and Example

Discover how strategic gap analysis identifies performance gaps between current and optimal outcomes, and learn actionable steps to bridge these gaps successfully.
IEEE

Kalman-SSM: Modeling Long-Term Time Series With Kalman Filter Structured State Spaces

Abstract: In the field of time series forecasting, time series are often considered as linear time-varying systems, which facilitates the analysis and modeling of time series from a structural state ...
IEEE

Comparative Analysis of Sub-Synchronous Oscillations With Various Grid-Forming Control Schemes Under Series-Compensated Line

Abstract: This paper presents a comparative study of various grid-forming control strategies under different series compensation levels to suggest the optimal control scheme for compensated lines.