Electrochemical energy storage systems are fundamental to renewable energy integration
and electrified vehicle penetration. Hybrid electrochemical energy storage systems …

The wide variety of smart devices equipped in modern intelligent buildings and the
increasing comfort requirements of occupants for the environment make the control of …

Abstract Artificial Neural Networks (ANNs) are proposed for sizing and simulating a clean
energy community (CEC) that employs a PV-wind hybrid system, coupled with energy …

The energy management (EM) strategy, power controller, and local controller of the EM
system are coupled, and together affect hybrid power system performance. To achieve …

The fuel cell is generally coupled with the hybrid energy storage system (HESS) to improve
power system dynamic performance and prolong the fuel cell lifetime. Therefore, the sizing …

The application of energy storage technologies is crucial to the extensive exploitation of
renewable energy for power generation in off-grid areas because energy storage can …

With the rapid development of machine learning, deep reinforcement learning (DRL)
algorithms have been widely applied to energy management strategies (EMSs) of hybrid …

This article investigates the optimal management of multi-carrier water and energy system
(MCWES) considering the high penetration of renewable energy sources as non …

Hydrogen-based energy storage has the potential to compensate for the volatility of
renewable power generation in energy systems with a high renewable penetration. The …

The standalone photovoltaic-battery energy storage (PV-BES) microgrid has gained
substantial interest recently due to its ability to provide uninterrupted power to consumers in …