Wind Power Forecasting Utilizing Bidirectional Gated Recurrent Units in Conjunction with Empirical Mode Decomposition and Bayesian Neural Networks
Abstract
To address the operational challenges of power systems with high renewable penetration, this research targets the non-stationarity and stochasticity of wind power. A novel hybrid framework for probabilistic forecasting and ri... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Energy Load and Power Forecasting
Solar Radiation and Photovoltaics
Traffic Prediction and Management Techniques
Publication details
- Journal / source
- Energy Engineering
- Volume
- 123
- Issue
- 7
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN