Multi-Agent System Supporting Automated Large-Scale Photometric Computations
The technologies related to green energy, smart cities and similar areas being dynamically developed in recent years, face frequently problems of a computational nature rather than a technological one. The example is the ability of accurately predicting the weather conditions for PV farms or wind tu...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-02-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/18/3/76 |
| _version_ | 1798040749398294528 |
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| author | Adam Sȩdziwy Leszek Kotulski |
| author_facet | Adam Sȩdziwy Leszek Kotulski |
| author_sort | Adam Sȩdziwy |
| collection | DOAJ |
| description | The technologies related to green energy, smart cities and similar areas being dynamically developed in recent years, face frequently problems of a computational nature rather than a technological one. The example is the ability of accurately predicting the weather conditions for PV farms or wind turbines. Another group of issues is related to the complexity of the computations required to obtain an optimal setup of a solution being designed. In this article, we present the case representing the latter group of problems, namely designing large-scale power-saving lighting installations. The term “large-scale” refers to an entire city area, containing tens of thousands of luminaires. Although a simple power reduction for a single street, giving limited savings, is relatively easy, it becomes infeasible for tasks covering thousands of luminaires described by precise coordinates (instead of simplified layouts). To overcome this critical issue, we propose introducing a formal representation of a computing problem and applying a multi-agent system to perform design-related computations in parallel. The important measure introduced in the article indicating optimization progress is entropy. It also allows for terminating optimization when the solution is satisfying. The article contains the results of real-life calculations being made with the help of the presented approach. |
| first_indexed | 2024-04-11T22:11:52Z |
| format | Article |
| id | doaj.art-94102e3f668849e6b069223562a774f6 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T22:11:52Z |
| publishDate | 2016-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-94102e3f668849e6b069223562a774f62022-12-22T04:00:32ZengMDPI AGEntropy1099-43002016-02-011837610.3390/e18030076e18030076Multi-Agent System Supporting Automated Large-Scale Photometric ComputationsAdam Sȩdziwy0Leszek Kotulski1Department of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, PolandDepartment of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, PolandThe technologies related to green energy, smart cities and similar areas being dynamically developed in recent years, face frequently problems of a computational nature rather than a technological one. The example is the ability of accurately predicting the weather conditions for PV farms or wind turbines. Another group of issues is related to the complexity of the computations required to obtain an optimal setup of a solution being designed. In this article, we present the case representing the latter group of problems, namely designing large-scale power-saving lighting installations. The term “large-scale” refers to an entire city area, containing tens of thousands of luminaires. Although a simple power reduction for a single street, giving limited savings, is relatively easy, it becomes infeasible for tasks covering thousands of luminaires described by precise coordinates (instead of simplified layouts). To overcome this critical issue, we propose introducing a formal representation of a computing problem and applying a multi-agent system to perform design-related computations in parallel. The important measure introduced in the article indicating optimization progress is entropy. It also allows for terminating optimization when the solution is satisfying. The article contains the results of real-life calculations being made with the help of the presented approach.http://www.mdpi.com/1099-4300/18/3/76street lightingenergy efficiencyphotometric computationsentropymulti-agent systemgraphs |
| spellingShingle | Adam Sȩdziwy Leszek Kotulski Multi-Agent System Supporting Automated Large-Scale Photometric Computations Entropy street lighting energy efficiency photometric computations entropy multi-agent system graphs |
| title | Multi-Agent System Supporting Automated Large-Scale Photometric Computations |
| title_full | Multi-Agent System Supporting Automated Large-Scale Photometric Computations |
| title_fullStr | Multi-Agent System Supporting Automated Large-Scale Photometric Computations |
| title_full_unstemmed | Multi-Agent System Supporting Automated Large-Scale Photometric Computations |
| title_short | Multi-Agent System Supporting Automated Large-Scale Photometric Computations |
| title_sort | multi agent system supporting automated large scale photometric computations |
| topic | street lighting energy efficiency photometric computations entropy multi-agent system graphs |
| url | http://www.mdpi.com/1099-4300/18/3/76 |
| work_keys_str_mv | AT adamsedziwy multiagentsystemsupportingautomatedlargescalephotometriccomputations AT leszekkotulski multiagentsystemsupportingautomatedlargescalephotometriccomputations |