About this document
Hybrid Model for Short-Term Wind Forecasting by Callate Pendeja Perez is a document available to read on EtoBox.
The document presents a novel hybrid model for short-term wind speed forecasting that combines Markov Chains (MCs) with an adjusting dynamic moving window and Maximal Overlap Discrete Wavelet Transform (MODWT) integrated with ARIMA. The proposed model improves forecasting performance by 50% compared to traditional single moving window approaches and shows an average improvement of 55% over single deep learning models. This research highlights the limitations of existing methods and the need for more adaptiv
- Author
- Callate Pendeja Perez
- Language
- EN