Artificial neural networks as artificial intelligence technique for energy saving in refrigeration systems—A review
M Pérez-Gomariz, A López-Gómez… - Clean …, 2023 - mdpi.com
The refrigeration industry is an energy-intensive sector. Increasing the efficiency of industrial
refrigeration systems is crucial for reducing production costs and minimizing CO2 emissions …
refrigeration systems is crucial for reducing production costs and minimizing CO2 emissions …
Deploying artificial intelligence for climate change adaptation
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …
change. This paper explores the connections between AI and climate change research as a …
[HTML][HTML] A review of advancements in solar PV-powered refrigeration: Enhancing efficiency, sustainability, and operational optimization
G Saha, AKMAM Azad - Energy reports, 2024 - Elsevier
The combination of refrigeration systems and solar photovoltaic (PV) technology has
become a viable alternative to tackle the difficulties caused by electricity limitations …
become a viable alternative to tackle the difficulties caused by electricity limitations …
Memory, evolutionary operator, and local search based improved Grey Wolf Optimizer with linear population size reduction technique
Optimization of multi-modal functions is challenging even for evolutionary and swarm-based
algorithms as it requires an efficient exploration for finding the promising region of the …
algorithms as it requires an efficient exploration for finding the promising region of the …
Energy and exergy analysis of a subfreezing evaporator environment ammonia-water absorption refrigeration cycle: Machine learning and parametric optimization
The coefficient of performance (COP) and exergy efficiency of a single and double-effect
ammonia-water absorption refrigeration system powered by compound parabolic …
ammonia-water absorption refrigeration system powered by compound parabolic …
An enhanced evaporation rate water-cycle algorithm for global optimization
Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version
of the water-cycle algorithm (WCA) metaheuristics algorithm. ErWCA, like other algorithms …
of the water-cycle algorithm (WCA) metaheuristics algorithm. ErWCA, like other algorithms …
Surrogate-assisted constrained hybrid particle swarm optimization algorithm for propane pre-cooled mixed refrigerant LNG process optimization
The propane pre-cooled mixed refrigerant (C3MR) process is one of the most widely used
and efficient natural gas liquefaction processes. However, optimization of this process …
and efficient natural gas liquefaction processes. However, optimization of this process …
Nature-inspired metaheuristic techniques for combinatorial optimization problems: Overview and recent advances
Combinatorial optimization problems are often considered NP-hard problems in the field of
decision science and the industrial revolution. As a successful transformation to tackle …
decision science and the industrial revolution. As a successful transformation to tackle …
[HTML][HTML] Analysis of hybrid HA/CNT suspended-EDM process and multiple-objectives optimization to improve machining responses of 316L steel
A low material erosion rate (MER) and a high roughness are challenges encountered when
machining the biomaterials using the hydroxyapatite powder (HAp) suspended-electric …
machining the biomaterials using the hydroxyapatite powder (HAp) suspended-electric …
Enhanced machining features and multi-objective optimization of CNT mixed-EDM process for processing 316L steel
There is a high roughness and tool wear rate (TER), and a minimal material erosion rate
(MER) when 316L steel is machined through conventional or conductive powder mixed …
(MER) when 316L steel is machined through conventional or conductive powder mixed …