Zero-coder/FECAM
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
This project helps operations managers, financial analysts, and energy grid forecasters make more accurate predictions using time series data. It takes historical numerical data, like electricity consumption, traffic patterns, or financial exchange rates, and outputs highly accurate future forecasts. Users who need reliable predictions for planning and resource allocation will find this beneficial.
154 stars. No commits in the last 6 months.
Use this if you need to make highly accurate future predictions from real-world, multivariate time series data and want to improve upon existing deep learning forecasting models.
Not ideal if you are looking for a simple, out-of-the-box forecasting solution without integrating it into an existing deep learning model.
Stars
154
Forks
20
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 09, 2023
Commits (30d)
0
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