Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets
Thanks to the presence of sensors and the boom in technologies typical of the Internet of things, we can now monitor and record the energy consumption of buildings over time. By effectively analyzing these data to capture consumption patterns, significant reductions in consumption can be achieved an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2018-11-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125905639/view |
| _version_ | 1811302505922953216 |
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| author | Sergio Martínez-Municio Luis Rodríguez-Benítez Ester Castillo-Herrera Juan Giralt-Muiña Luis Jiménez-Linares |
| author_facet | Sergio Martínez-Municio Luis Rodríguez-Benítez Ester Castillo-Herrera Juan Giralt-Muiña Luis Jiménez-Linares |
| author_sort | Sergio Martínez-Municio |
| collection | DOAJ |
| description | Thanks to the presence of sensors and the boom in technologies typical of the Internet of things, we can now monitor and record the energy consumption of buildings over time. By effectively analyzing these data to capture consumption patterns, significant reductions in consumption can be achieved and this can contribute to a building’s sustainability. In this work, we propose a framework from which we can define models that capture this casuistry, gathering a set of time series of electrical consumption. The objective of these models is to obtain a linguistic summary based on y is P protoforms that describes in natural language the consumption of a given building or group of buildings in a specific time period. The definition of these descriptions has been solved by means of fuzzy linguistic summaries. As a novelty in this field, we propose an extension that is able to capture situations where the membership of the fuzzy sets is not very marked, which obtains an enriched semantics. In addition, to support these models, the development of a software prototype has been carried out and a small applied study of actual consumption data from an educational organization based on the conclusions that can be drawn from the techniques that we have described, demonstrating its capabilities in summarizing consumption situations. Finally, it is intended that this work will be useful to managers of buildings or organizational managers because it will enable them to better understand consumptionin a brief and concise manner, allowing them to save costs derived from energy supply by establishing sustainable policies. |
| first_indexed | 2024-04-13T07:29:21Z |
| format | Article |
| id | doaj.art-8c90fc0f997f4e10b7ac06b454858486 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-13T07:29:21Z |
| publishDate | 2018-11-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-8c90fc0f997f4e10b7ac06b4548584862022-12-22T02:56:24ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832018-11-0112110.2991/ijcis.2018.125905639Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series SetsSergio Martínez-MunicioLuis Rodríguez-BenítezEster Castillo-HerreraJuan Giralt-MuiñaLuis Jiménez-LinaresThanks to the presence of sensors and the boom in technologies typical of the Internet of things, we can now monitor and record the energy consumption of buildings over time. By effectively analyzing these data to capture consumption patterns, significant reductions in consumption can be achieved and this can contribute to a building’s sustainability. In this work, we propose a framework from which we can define models that capture this casuistry, gathering a set of time series of electrical consumption. The objective of these models is to obtain a linguistic summary based on y is P protoforms that describes in natural language the consumption of a given building or group of buildings in a specific time period. The definition of these descriptions has been solved by means of fuzzy linguistic summaries. As a novelty in this field, we propose an extension that is able to capture situations where the membership of the fuzzy sets is not very marked, which obtains an enriched semantics. In addition, to support these models, the development of a software prototype has been carried out and a small applied study of actual consumption data from an educational organization based on the conclusions that can be drawn from the techniques that we have described, demonstrating its capabilities in summarizing consumption situations. Finally, it is intended that this work will be useful to managers of buildings or organizational managers because it will enable them to better understand consumptionin a brief and concise manner, allowing them to save costs derived from energy supply by establishing sustainable policies.https://www.atlantis-press.com/article/125905639/viewTime seriesLinguistic summariesFuzzy modelClusteringEnergetic consumption |
| spellingShingle | Sergio Martínez-Municio Luis Rodríguez-Benítez Ester Castillo-Herrera Juan Giralt-Muiña Luis Jiménez-Linares Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets International Journal of Computational Intelligence Systems Time series Linguistic summaries Fuzzy model Clustering Energetic consumption |
| title | Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets |
| title_full | Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets |
| title_fullStr | Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets |
| title_full_unstemmed | Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets |
| title_short | Linguistic Modeling and Synthesis of Heterogeneous Energy Consumption Time Series Sets |
| title_sort | linguistic modeling and synthesis of heterogeneous energy consumption time series sets |
| topic | Time series Linguistic summaries Fuzzy model Clustering Energetic consumption |
| url | https://www.atlantis-press.com/article/125905639/view |
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