Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review
The refrigeration industry is an energy-intensive sector. Increasing the efficiency of industrial refrigeration systems is crucial for reducing production costs and minimizing CO<sub>2</sub> emissions. Optimization of refrigeration systems is often a complex and time-consuming problem. T...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Clean Technologies |
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| Online Access: | https://www.mdpi.com/2571-8797/5/1/7 |
| _version_ | 1797612596824637440 |
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| author | Mario Pérez-Gomariz Antonio López-Gómez Fernando Cerdán-Cartagena |
| author_facet | Mario Pérez-Gomariz Antonio López-Gómez Fernando Cerdán-Cartagena |
| author_sort | Mario Pérez-Gomariz |
| collection | DOAJ |
| description | The refrigeration industry is an energy-intensive sector. Increasing the efficiency of industrial refrigeration systems is crucial for reducing production costs and minimizing CO<sub>2</sub> emissions. Optimization of refrigeration systems is often a complex and time-consuming problem. This is where technologies such as big data and artificial intelligence play an important role. Nowadays, smart sensorization and the development of IoT (Internet of Things) make the massive connection of all kinds of devices possible, thereby enabling a new way of data acquisition. In this scenario, refrigeration systems can be measured comprehensively by acquiring large volumes of data in real-time. Then, artificial neural network (ANN) models can use the data to drive autonomous decision-making to build more efficient refrigeration systems. |
| first_indexed | 2024-03-11T06:44:16Z |
| format | Article |
| id | doaj.art-f0c14b16754b49f4855a505a26ce0b5f |
| institution | Directory Open Access Journal |
| issn | 2571-8797 |
| language | English |
| last_indexed | 2024-03-11T06:44:16Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Clean Technologies |
| spelling | doaj.art-f0c14b16754b49f4855a505a26ce0b5f2023-11-17T10:23:49ZengMDPI AGClean Technologies2571-87972023-01-015111613610.3390/cleantechnol5010007Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A ReviewMario Pérez-Gomariz0Antonio López-Gómez1Fernando Cerdán-Cartagena2Department of Information Technologies and Telecommunications, ETSIT—UPCT, Antiguo Cuartel de Antigones, Plaza del Hospital 1, 30202 Cartagena, SpainDepartment of Agricultural Engineering, ETSIA—UPCT, Paseo Alfonso XIII 48, 30203 Cartagena, SpainDepartment of Information Technologies and Telecommunications, ETSIT—UPCT, Antiguo Cuartel de Antigones, Plaza del Hospital 1, 30202 Cartagena, SpainThe refrigeration industry is an energy-intensive sector. Increasing the efficiency of industrial refrigeration systems is crucial for reducing production costs and minimizing CO<sub>2</sub> emissions. Optimization of refrigeration systems is often a complex and time-consuming problem. This is where technologies such as big data and artificial intelligence play an important role. Nowadays, smart sensorization and the development of IoT (Internet of Things) make the massive connection of all kinds of devices possible, thereby enabling a new way of data acquisition. In this scenario, refrigeration systems can be measured comprehensively by acquiring large volumes of data in real-time. Then, artificial neural network (ANN) models can use the data to drive autonomous decision-making to build more efficient refrigeration systems.https://www.mdpi.com/2571-8797/5/1/7artificial intelligenceartificial neural networksinternet of thingsenergy savingrefrigeration systemsdata-based models |
| spellingShingle | Mario Pérez-Gomariz Antonio López-Gómez Fernando Cerdán-Cartagena Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review Clean Technologies artificial intelligence artificial neural networks internet of things energy saving refrigeration systems data-based models |
| title | Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review |
| title_full | Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review |
| title_fullStr | Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review |
| title_full_unstemmed | Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review |
| title_short | Artificial Neural Networks as Artificial Intelligence Technique for Energy Saving in Refrigeration Systems—A Review |
| title_sort | artificial neural networks as artificial intelligence technique for energy saving in refrigeration systems a review |
| topic | artificial intelligence artificial neural networks internet of things energy saving refrigeration systems data-based models |
| url | https://www.mdpi.com/2571-8797/5/1/7 |
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