Heat demand prediction: A real-life data model vs simulated data model comparison
In the recent years machine learning algorithms have developed further and various applications are taking advantage of this advancement. Modern machine learning is now used in district heating for more precise and realistic heat demand prediction. Machine learning methods like Artificial Neural Net...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721006958 |
| _version_ | 1818987063656054784 |
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| author | Kevin Naik Anton Ianakiev |
| author_facet | Kevin Naik Anton Ianakiev |
| author_sort | Kevin Naik |
| collection | DOAJ |
| description | In the recent years machine learning algorithms have developed further and various applications are taking advantage of this advancement. Modern machine learning is now used in district heating for more precise and realistic heat demand prediction. Machine learning methods like Artificial Neural Network (ANN), Linear Regression (LR), and Decision Tree (DT) are commonly adopted in heat demand prediction to produce more accurate results. This research paper compares the performance of several machine learning methods on different datasets generated by the combination of simulations and real-life data collected from a local district heating site in Nottingham. The result shows that Linear Regression generates better prediction than Artificial Neural Network and Decision Tree, for dataset generated using simulator, whereas Decision Tree performs best for real-life data. |
| first_indexed | 2024-12-20T19:00:44Z |
| format | Article |
| id | doaj.art-e30fde8a289b444d9326790fe6d64819 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-20T19:00:44Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-e30fde8a289b444d9326790fe6d648192022-12-21T19:29:25ZengElsevierEnergy Reports2352-48472021-10-017380388Heat demand prediction: A real-life data model vs simulated data model comparisonKevin Naik0Anton Ianakiev1Corresponding author.; Nottingham Trent University, Nottingham, UKNottingham Trent University, Nottingham, UKIn the recent years machine learning algorithms have developed further and various applications are taking advantage of this advancement. Modern machine learning is now used in district heating for more precise and realistic heat demand prediction. Machine learning methods like Artificial Neural Network (ANN), Linear Regression (LR), and Decision Tree (DT) are commonly adopted in heat demand prediction to produce more accurate results. This research paper compares the performance of several machine learning methods on different datasets generated by the combination of simulations and real-life data collected from a local district heating site in Nottingham. The result shows that Linear Regression generates better prediction than Artificial Neural Network and Decision Tree, for dataset generated using simulator, whereas Decision Tree performs best for real-life data.http://www.sciencedirect.com/science/article/pii/S2352484721006958Heat demandPredictionMachine learningDistrict heatingData models |
| spellingShingle | Kevin Naik Anton Ianakiev Heat demand prediction: A real-life data model vs simulated data model comparison Energy Reports Heat demand Prediction Machine learning District heating Data models |
| title | Heat demand prediction: A real-life data model vs simulated data model comparison |
| title_full | Heat demand prediction: A real-life data model vs simulated data model comparison |
| title_fullStr | Heat demand prediction: A real-life data model vs simulated data model comparison |
| title_full_unstemmed | Heat demand prediction: A real-life data model vs simulated data model comparison |
| title_short | Heat demand prediction: A real-life data model vs simulated data model comparison |
| title_sort | heat demand prediction a real life data model vs simulated data model comparison |
| topic | Heat demand Prediction Machine learning District heating Data models |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721006958 |
| work_keys_str_mv | AT kevinnaik heatdemandpredictionareallifedatamodelvssimulateddatamodelcomparison AT antonianakiev heatdemandpredictionareallifedatamodelvssimulateddatamodelcomparison |