stevinc/Transformer_Timeseries
Pytorch code for Google's Temporal Fusion Transformer
This helps operations managers, energy traders, or facilities planners predict future electricity consumption. By inputting historical electricity usage data, it generates forecasts to help with resource allocation, scheduling, and market decisions. This tool is designed for professionals who need accurate, data-driven predictions for time-sensitive operations.
108 stars. No commits in the last 6 months.
Use this if you need to forecast future values based on past time-series data, particularly for things like energy demand, stock prices, or sensor readings.
Not ideal if you're looking for a simple, out-of-the-box forecasting application with a graphical user interface, as this requires some technical setup.
Stars
108
Forks
26
Language
Python
License
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Category
Last pushed
May 02, 2022
Commits (30d)
0
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