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🌐 Entity
Autoregressive integrated moving average
Statistical model used in time series analysis
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📌 Topics
- Energy Forecasting (1)
- Deep Learning (1)
🏷️ Keywords
ARIMA (1) · attention mechanisms (1) · temporal deep learning (1) · power load forecasting (1) · energy management (1) · grid stability (1) · seasonal variations (1)
📖 Key Information
In time series analysis used in statistics and econometrics, autoregressive integrated moving average (ARIMA) and seasonal ARIMA (SARIMA) models are generalizations of the autoregressive moving average (ARMA) model to non-stationary series and periodic variation, respectively. All these models are fitted to time series in order to better understand it and predict future values. The purpose of these generalizations is to fit the data as well as possible.
📰 Related News (1)
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🇺🇸 From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
arXiv:2603.06622v1 Announce Type: cross Abstract: Accurate short-term power load forecasting is important to effectively manage, optimize, and ensure...