PatchTST Open-Source Time Series Model - Free Deployment to Aid Precise Time Series Prediction

Test Patchtst

Developed by ibm-research

PatchTST is a pre-trained time series foundation model, focusing on time series forecasting tasks.

Downloads 5,593

Release Time : 8/16/2024

Model Overview

PatchTST is a Transformer-based time series forecasting model suitable for various time series data analysis tasks.

Pre-trained Model

Provides pre-trained weights that can be directly used for time series forecasting tasks.

Transformer Architecture

Transformer-based architecture, suitable for capturing long-term dependencies in time series.

General Time Series Model

Applicable to time series data across multiple domains.

Time Series Forecasting

Long-term Dependency Modeling

Multi-domain Time Series Data Analysis

Finance

Stock Price Prediction

Predict future stock price trends.

Energy

Electricity Demand Forecasting

Predict future electricity consumption.

Retail

Sales Forecasting

Predict future product sales trends.

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