As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Energy storage systems play a crucial role in decreasing building energy consumption
during peak periods and expanding the use of renewable energies in buildings and …

Literature search across different databases showed that the application of artificial
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …

This paper presents a review of the application of model predictive control strategies to
active thermal energy storage systems. To date, model predictive control has been used to …

The economy of scale provided by cloud attracts a growing number of organizations and
industrial companies to deploy their applications in cloud data centers (CDCs) and to …

In this paper, a novel adaptive dynamic programming (ADP) algorithm, called “iterative zero-
sum ADP algorithm,” is developed to solve infinite-horizon discrete-time two-player zero …

This study investigates the potential energy savings in commercial buildings through
optimized operation of a multi-chiller plant. The cooling load contributes 45–60% of total …

The inefficient operation of cooling equipment is a significant impact factor to the high
energy consumption of cooling system in data center. This study proposes an advanced …

With the potential to decrease operating costs and improve energy efficiency, model
predictive control (MPC) has been proposed as a replacement for traditional heuristic, PID …

Currently, building energy consumption prediction models are usually based on a large
amount of historical operational data in high demands of building operating hours and …