Time Series Forecasting
التنبؤ بالسلاسل الزمنية
مهمة التنبؤ بقيم مستقبلية لمتغيّرات متسلسلة زمنياً بناءً على بياناتها التاريخية، وتُستخدم في مجالات كالطاقة والمالية والنقل.
The task of predicting future values of temporally ordered variables based on their historical data, used in domains like energy, finance, and transportation.
Also translated asالتوقع الزمني، تنبؤ السلاسل الزمنية
First appears in this corpus in: N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting (2019)
Appears in these papers
- Are Transformers Effective for Time Series Forecasting?2023in the sky ✦
- Are Transformers Effective for Time Series Forecasting?2023in the sky ✦
- N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting2019in the sky ✦
- A Decoder-Only Foundation Model for Time Series Forecasting2024in the sky ✦