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[HTML][HTML] Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives
Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition
Intermittent power production with hybrid storages, dynamic grids' interactions for synergistic
complementation, advanced energy management, optimal design and robust operation are …
complementation, advanced energy management, optimal design and robust operation are …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods
Z He, W Guo, P Zhang - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Capable of storing and redistributing energy, thermal energy storage (TES) shows a
promising applicability in energy systems. Recently, artificial intelligence (AI) technique is …
promising applicability in energy systems. Recently, artificial intelligence (AI) technique is …
A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings
This paper introduces a smart operation strategy based on model predictive control (MPC) to
optimize the performance of hydronic radiant floor systems in office buildings and presents …
optimize the performance of hydronic radiant floor systems in office buildings and presents …
Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems
Abstract As Internet of Things (IoT) technologies enable greater communication between
energy assets in smart cities, the operational coordination of various energy networks in a …
energy assets in smart cities, the operational coordination of various energy networks in a …
A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process
Data driven-based building energy load prediction is of great value for building energy
management tasks such as fault diagnosis and optimal control. However, there are two …
management tasks such as fault diagnosis and optimal control. However, there are two …
A data-driven rolling optimization control approach for building energy systems that integrate virtual energy storage systems
The virtual energy storage system (VESS) is an innovative and cost-effective technique for
coupling building envelope thermal storage and release abilities with the electric and heat …
coupling building envelope thermal storage and release abilities with the electric and heat …