Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior
The use of grey-box models for short-time forecasting of buildings’ thermal behavior requires the determination of the models’ order since this order could influence the grey-box models’ performance. This paper presents an analysis of the optimal order of these models f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-08-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/9/9/198 |
| _version_ | 1818202387544801280 |
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| author | Nivine Attoue Isam Shahrour Hussein Mroueh Rafic Younes |
| author_facet | Nivine Attoue Isam Shahrour Hussein Mroueh Rafic Younes |
| author_sort | Nivine Attoue |
| collection | DOAJ |
| description | The use of grey-box models for short-time forecasting of buildings’ thermal behavior requires the determination of the models’ order since this order could influence the grey-box models’ performance. This paper presents an analysis of the optimal order of these models for different thermal conditions. The novelty of this work consists of considering the influence of the heating conditions on the determination of the performances of grey-box models. The analysis is based on experimental tests that were conducted in a room with different thermal conditions, related to the variation of the heating power. Experimental results were used for the determination of the optimal grey-box models’ order that minimizes the gap between the experimental results and the grey-box forecasting. Results show that the optimal grey-box models’ order depends on the buildings’ thermal conditions, but generally lies between two and three with an error less than 0.2 °C and a fit percent greater than 90%. |
| first_indexed | 2024-12-12T03:08:39Z |
| format | Article |
| id | doaj.art-7b72a252c8924a128e8909d4bafe1499 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-12-12T03:08:39Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-7b72a252c8924a128e8909d4bafe14992022-12-22T00:40:28ZengMDPI AGBuildings2075-53092019-08-019919810.3390/buildings9090198buildings9090198Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal BehaviorNivine Attoue0Isam Shahrour1Hussein Mroueh2Rafic Younes3Laboratory of civil engineering and geo-environment, Lille University, 59650 Villeneuve d’Ascq, FranceLaboratory of civil engineering and geo-environment, Lille University, 59650 Villeneuve d’Ascq, FranceLaboratory of civil engineering and geo-environment, Lille University, 59650 Villeneuve d’Ascq, FranceModeling Center, Lebanese University, Hadath 99000, LebanonThe use of grey-box models for short-time forecasting of buildings’ thermal behavior requires the determination of the models’ order since this order could influence the grey-box models’ performance. This paper presents an analysis of the optimal order of these models for different thermal conditions. The novelty of this work consists of considering the influence of the heating conditions on the determination of the performances of grey-box models. The analysis is based on experimental tests that were conducted in a room with different thermal conditions, related to the variation of the heating power. Experimental results were used for the determination of the optimal grey-box models’ order that minimizes the gap between the experimental results and the grey-box forecasting. Results show that the optimal grey-box models’ order depends on the buildings’ thermal conditions, but generally lies between two and three with an error less than 0.2 °C and a fit percent greater than 90%.https://www.mdpi.com/2075-5309/9/9/198grey-box modeloptimal orderbuilding thermal conditionsperformance |
| spellingShingle | Nivine Attoue Isam Shahrour Hussein Mroueh Rafic Younes Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior Buildings grey-box model optimal order building thermal conditions performance |
| title | Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior |
| title_full | Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior |
| title_fullStr | Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior |
| title_full_unstemmed | Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior |
| title_short | Determination of the Optimal Order of Grey-Box Models for Short-Time Prediction of Buildings’ Thermal Behavior |
| title_sort | determination of the optimal order of grey box models for short time prediction of buildings thermal behavior |
| topic | grey-box model optimal order building thermal conditions performance |
| url | https://www.mdpi.com/2075-5309/9/9/198 |
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