ddz16/Preformer

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

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This project helps operations managers, financial analysts, and utility planners predict future values from long-term historical data. You input multi-variate time series data, like energy consumption or stock prices, and it outputs predictions for future trends. It's designed for anyone who needs accurate long-range forecasts to make informed decisions.

No commits in the last 6 months.

Use this if you need to accurately forecast future trends over long periods from complex historical data.

Not ideal if you're looking for real-time predictions or short-term forecasts from simpler datasets.

time-series-forecasting operations-planning financial-modeling utility-management demand-forecasting
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

45

Forks

3

Language

Python

License

MIT

Last pushed

Feb 17, 2023

Commits (30d)

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