A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
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 …
attention because of its promise to further optimize process design, quality control, health …
Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art
H Thieblemont, F Haghighat, R Ooka, A Moreau - Energy and Buildings, 2017 - Elsevier
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 …
during peak periods and expanding the use of renewable energies in buildings and …
[HTML][HTML] Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades
D Lee, ST Lee - Applied Thermal Engineering, 2023 - Elsevier
Literature search across different databases showed that the application of artificial
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …
TTSA: An effective scheduling approach for delay bounded tasks in hybrid clouds
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 …
industrial companies to deploy their applications in cloud data centers (CDCs) and to …
Systematic review on model predictive control strategies applied to active thermal energy storage systems
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 …
active thermal energy storage systems. To date, model predictive control has been used to …
Adaptive dynamic programming for discrete-time zero-sum games
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 …
sum ADP algorithm,” is developed to solve infinite-horizon discrete-time two-player zero …
Economic MPC and real-time decision making with application to large-scale HVAC energy systems
JB Rawlings, NR Patel, MJ Risbeck… - Computers & Chemical …, 2018 - Elsevier
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 …
predictive control (MPC) has been proposed as a replacement for traditional heuristic, PID …
Energy optimization methodology of multi-chiller plant in commercial buildings
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 …
optimized operation of a multi-chiller plant. The cooling load contributes 45–60% of total …
A review of optimal control methods for energy storage systems-energy trading, energy balancing and electric vehicles
This paper reviews recent works related to optimal control of energy storage systems. Based
on a contextual analysis of more than 250 recent papers we attempt to better understand …
on a contextual analysis of more than 250 recent papers we attempt to better understand …
[HTML][HTML] Universal workflow of artificial intelligence for energy saving
Artificial intelligence (AI) controls are commonly used to save energy. However, excessive
diversity in technological development has resulted in the inability to provide consistent …
diversity in technological development has resulted in the inability to provide consistent …