series: EI 2006-38
Forecasting high-frequency electricity demand with a diffusion index model.
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We propose a discussion index model (Stock and Watson, 2002) to fore- cast electricity demand for one hour to one week ahead. The model is particularly useful as it captures complicated seasonal patterns in the data. The forecast performance of the proposed method is illustrated with a simulated real-time experiment for data from the Pennsylvania- New Jersey-Maryland Interchange.
- C32 : Time-Series Models; Dynamic Quantile Regressions
- C12 : Hypothesis Testing
- C22 : Time-Series Models; Dynamic Quantile Regressions
- unit roots
- unit root analysis
- yht +1
- time series
- electricity demand