Anshita1Saxena/transformer_time_series_forecasting
Transformers applied on Time Series Forecasting
This project helps operations engineers or data scientists predict future sensor readings or similar sequential data. It takes raw time-series data, processes it to identify hourly, daily, and monthly patterns, and then outputs forecasts for upcoming time periods. The primary user would be someone who needs to anticipate changes or trends in sensor data, such as for system monitoring or anomaly detection.
No commits in the last 6 months.
Use this if you need to accurately forecast future values of a single time series, like sensor data, using advanced machine learning techniques.
Not ideal if you need to forecast multiple, related time series simultaneously or if your data doesn't exhibit clear temporal patterns.
Stars
8
Forks
4
Language
Python
License
MIT
Category
Last pushed
Feb 23, 2023
Commits (30d)
0
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