Heating, ventilation and air-conditioning (HVAC) accounts for around 40% of the total
building energy consumption. It has therefore become a major target for reductions, in terms …

Abstract Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major
source of global operational CO 2 emissions, primarily due to their high energy demands …

Heating, ventilation, and air conditioning (HVAC) systems account for a significant
proportion of the energy consumption of a building. With the global energy demand …

Owing to the high energy demand of buildings, which accounted for 36% of the global share
in 2020, they are one of the core targets for energy-efficiency research and regulations …

Increasing worldwide energy demand and the resulting escalations in greenhouse gas
emissions require a reassessment of energy usage in many sectors. The building industry …

In this study, we present a continuous Deep Deterministic Policy Gradient (DDPG)-based
control algorithm applied to extended-scale cold storage environments to optimize energy …

Abstract The significance of Deep Reinforcement learning is sensibly represented in the
method of optimizing the graphic design and space framework of buildings in context with …

Indoor Environment Quality (IEQ) is one of the most important goals for smart spaces.
Thermal comfort is typically considered the most emphasized factor in IEQ that depends on …

In recent studies, piezoelectric actuators have been recognized as a practical and effective
material for repairing cracks in thin-walled structures, such as plates that are adhesively …

Deep reinforcement learning (DRL) has emerged as a powerful tool for controlling complex
systems, by combining deep neural networks with reinforcement learning techniques …