Hybrid Forecasting Model for Smart Grid Using Exogenous Variables

• Published in: 2024 International Conference on Emerging Trends in Smart Technologies (ICETST) pp. 1 - 6
• Main Authors: Shaikh, Faraz, Khattak, Hasan Ali
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.10.2024
• Subjects: Demand Response; Exogenous Variables; Forecasting; Hybrid Forecasting; Meteorology; Monitoring; Power generation; Predictive analytics; Predictive models; Quality of service; Real-time systems; Resilience; Smart Grid; Smart grids; Weather Data Integration

Smart grids augment the existing power grids with information and communication technology to enable enhanced monitoring and control. Power grid resilience and failure management have always been problems that have intrigued researchers and policymakers, who want to ensure the services offered are u...