About this document
Ensemble Technique for Electricity Demand Forecasting by kuliah.mike is a document available to read on EtoBox.
This research presents a novel time series ensemble technique for accurately forecasting electricity demand in the Peruvian market one month ahead. The proposed method preprocesses the demand data to address issues like missing values and seasonality, and it combines multiple forecasting models to enhance accuracy. Results demonstrate that this ensemble approach significantly outperforms existing models in the literature, marking the first application of such a technique in the Peruvian context.
- Author
- kuliah.mike
- Language
- EN