All glossary terms
conceptsintermediate
Time Series Forecasting
A task that predicts future values based on historical sequential data.
In more detail
Time series forecasting uses temporal patterns and dependencies. Methods include ARIMA, LSTMs, Transformers, and ensemble approaches. Applications: stock prices, weather, demand forecasting, system capacity planning.
Examples
- Stock price prediction
- Weather forecasting
- Demand forecasting
- Energy consumption prediction
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