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”
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.
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45
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3
Language
Python
License
MIT
Category
Last pushed
Feb 17, 2023
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