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[HTML][HTML] Metal hydrides for hydrogen storage–Identification and evaluation of stationary and transportation applications
C Drawer, J Lange, M Kaltschmitt - Journal of energy storage, 2024 - Elsevier
Hydrogen is becoming increasingly important to achieve the valid defossilization goals.
However, due to its physical properties, especially the storage of hydrogen is challenging …
However, due to its physical properties, especially the storage of hydrogen is challenging …
Machine learning and artificial intelligence-distributed renewable energy sources: technologies, perspectives, and challenges
X Yu, Y Zhou - Advances in Digitalization and Machine Learning for …, 2024 - Elsevier
Energy digitalization is ubiquitous with huge potential for sustainable transitions. Artificial
intelligence (AI), through simulation, extension, and expansion of human intelligence, has …
intelligence (AI), through simulation, extension, and expansion of human intelligence, has …
Global sensitivity analysis of a generator-absorber heat exchange (GAX) system's thermal performance with a hybrid energy source: An approach using artificial …
Generator-absorber heat exchange (GAX) systems represent a promising alternative to
substitute environmentally harmful refrigeration devices based on conventional vapor …
substitute environmentally harmful refrigeration devices based on conventional vapor …
Development of a method for predicting the transient behavior of an absorption chiller using artificial intelligence methods
Absorption chillers are complex equipment compared to mechanical chillers due to their
nature of heat and mass transfer processes, working fluids used, and their limitations, such …
nature of heat and mass transfer processes, working fluids used, and their limitations, such …
[HTML][HTML] Analysis of energy and environmental indicators for sustainable operation of Mexican hotels in tropical climate aided by artificial intelligence
This study assessed the energy-use index and carbon-footprint performance of nine medium-
category Mexican hotels (two–four stars) located in tropical-climate regions. The …
category Mexican hotels (two–four stars) located in tropical-climate regions. The …
Analysis of energy and environmental indicators for sustainable operation of mexican hotels in tropical climate aided by artificial intelligence
This study assessed the energy-use index and carbon-footprint performance of nine medium-
category Mexican hotels (two–four stars) located in tropical-climate regions. The …
category Mexican hotels (two–four stars) located in tropical-climate regions. The …
[HTML][HTML] Critical Review of Advances and Numerical Modeling in Absorbers and Desorbers of Absorption Chillers: CFD Applications, Constraints, and Future …
This article critically reviews advances and numerical modeling in absorbers and desorbers
used in absorption refrigeration systems, emphasizing the applications, limitations, and …
used in absorption refrigeration systems, emphasizing the applications, limitations, and …
Computational Intelligence-Based Fault Detection in Refrigeration Systems: A Study on Enhancing System Reliability
The utilization of computational intelligence, particularly Artificial Neural Networks (ANNs),
for fault detection is of paramount importance as it empowers industries to proactively …
for fault detection is of paramount importance as it empowers industries to proactively …
Experimental analysis of computerized heat exchanger optimized by artificial neural network
P Loganathan, S Alagarsamy… - AIP Conference …, 2024 - pubs.aip.org
In double-pipe type heat exchangers, the process parameters controlled by an interacting
unit using a computer are concentrated in this study. Controlling the process parameter …
unit using a computer are concentrated in this study. Controlling the process parameter …
Network as an Optimization Tool to Improve the Performance of Energy Systems
Currently, artificial neural networks (ANN) are one of the most prominent machine learning
techniques for solving regression, classification, image recognition, and time series …
techniques for solving regression, classification, image recognition, and time series …