Edited by: Wei-Chiang Hong, Yi Liang

This Special Issue aims to present and disseminate the most recent advances related to modeling theory, approaches, and applications of energy systems.

Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future, such as gas turbines, wind turbines, photovoltaic panels, building heating, ventilation and air-conditioning (HVAC) systems, etc., which have a great impact on energy resources and efficiencies. Due to the emerging artificial intelligence and machine learning, traditional modeling techniques in these energy systems have met challenges in still leveraging physics model and first principle-based approaches. Moreover, with the rapid development of hardware and computing techniques, new modeling approaches for energy systems have become more and more important for system design, integration, analysis, control, and management. This Special Issue aims to present and disseminate the most recent advances related to modeling theory, approaches, and applications of energy systems.

Advanced Artificial Intelligence and Machine Learning Methods Applied to Energy Systems