Deploying renewable energy and implementing smart energy management strategies are
crucial for decarbonizing Building Energy Systems (BES). Despite recent advancements in …

Reducing carbon emissions has been a focus problem with the rapidly increasing building
energy consumption. One solution is adopting more Renewable Energy Resources (RESs) …

Reinforcement Learning (RL), a promising algorithm for the operational control of Heating,
Ventilation, and Air Conditioning (HVAC) systems, has garnered considerable attention and …

Actively controlling a building's heating, ventilation, and air conditioning (HVAC) system can
reduce costs and improve indoor comfort. Model predictive control (MPC) is an effective …

The rising demands for comfort alongside energy conservation underscore the importance
of intelligent air conditioning control systems. Model Predictive Control (MPC) stands out as …

As a promising approach to managing distributed energy, the use of microgrids has attracted
significant attention among those managing continuous connections to distribution networks …

The stability of power system operations is being challenged by the rapid development of
renewable energy. A viable solution is to achieve accurate renewable energy forecasting. In …

This study introduces a novel framework that leverages artificial intelligence (AI), specifically
deep learning and reinforcement learning, to enhance energy efficiency in architectural …

The development of distributed photovoltaic and energy storage devices has created
challenges for energy management systems due to uncertainty and mismatch between local …

For batch processes with partial actuator failures and unknown system dynamics, an
innovative two-dimensional (2D) model-free Q-learning algorithm is proposed to obtain the …