Modeling a digital twin for the optimization of a self-supply energy system for residential use

• Published in: 2024 IEEE International Systems Conference (SysCon) pp. 1 - 8
• Main Authors: de Lope, Laura Rodriguez, Maestre, Victor M., Diez, Luis, Ortiz, Alfredo, Aguero, Ramon, Ortiz, Inmaculada
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.04.2024
• Subjects: Biological system modeling; digital twin; Digital twins; hydrogen; Machine learning; Neural networks; Predictive models; renewable energy; Renewable energy sources; System performance

The climate situation and the energy crisis have prompted a number of policies and strategies that foster the adoption of renewable energy sources. To tackle the intermittency and fluctuations associated with the operation of these sustainable energy sources, renewable hydrogen appears as an appeali...