Abstract: The use of photovoltaic (PV) arrays in smart grid systems is growing due to the increasing energy demand and greenhouse gas emissions. However, due to the intermittent nature of PV arrays, ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

This project addresses the dynamic pricing problem for electric vehicle charging stations (EVCS) under uncertain and dynamic demand conditions. We propose D³PGSA, an enhanced reinforcement learning ...

Onboard autonomy is essential for deep-space missions, where spacecraft must navigate complex, multi-body environments with limited computational resources. Traditional guidance methods often require ...

Abstract: This paper proposes a DC-AC inverter controller based on reinforcement learning (RL) algorithm. Compared with the traditional PID control method, the structure of the RL algorithm based ...

Buildings account for a large proportion of the total energy consumption in many countries and almost half of the energy consumption is caused by the Heating, Ventilation, and air-conditioning (HVAC) ...

Holy Cross Energy brings NREL algorithms out of the lab and into homes, setting a national example for grid control. Nearly every major U.S. city has set renewable energy goals that will require ...