Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI | http://purl.tuc.gr/dl/dias/806A9D5F-C618-4369-8EB4-F87BE9668405 | - |
| Αναγνωριστικό | https://doi.org/10.1016/j.scs.2011.05.001 | - |
| Γλώσσα | en | - |
| Μέγεθος | 11 | en |
| Τίτλος | Development of a model for urban heat island prediction using neural network techniques | en |
| Δημιουργός | Gobakis K. | en |
| Δημιουργός | Kolokotsa Dionysia | en |
| Δημιουργός | Κολοκοτσα Διονυσια | el |
| Δημιουργός | Synnefa Afroditi | en |
| Δημιουργός | Saliari M. | en |
| Δημιουργός | Giannopoulou K. | en |
| Δημιουργός | Santamouris Mat | en |
| Εκδότης | Elsevier | en |
| Περιγραφή | Δημοσίευση σε επιστημονικό περιοδικό | el |
| Περίληψη | The urban heat island (UHI) phenomenon is mainly caused by the differences in the thermal behaviour between urban and rural settlements that are associated with the thermal properties of urban materials, urban geometry, air pollution, and the anthropogenic heat released by the urban activities. The UHI has a serious impact on the energy consumption of buildings, increases smog production, while contributing to an increasing emission of pollutants from power plants, including sulfur dioxide, carbon monoxide, nitrous oxides and suspended particulates. This study presents the applicability of artificial neural networks (ANNs) and learning paradigms for UHI intensity prediction in Athens, Greece. The proposed model is tested using Elman, Feed-Forward and Cascade neural network architecture. The data of time, ambient temperature and global solar radiation are used to train and test the different models. The prediction accuracy is analyzed and evaluated. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-05 | - |
| Ημερομηνία Δημοσίευσης | 2011 | - |
| Θεματική Κατηγορία | Artificial neural networks | en |
| Θεματική Κατηγορία | Urban heat island phenomenon | en |
| Θεματική Κατηγορία | Prediction of urban heat island | en |
| Βιβλιογραφική Αναφορά | K. Gobakis, D. Kolokotsa, A. Synnefa, M. Saliari, K. Giannopoulou, M. Santamouris,"Development of a model for urban heat island prediction using neural network techniques," Sustainable Cities and Society, vol. 1, no. 2, pp. 104–115, Jul. 2011. doi: 10.1016/j.scs.2011.05.001 | en |
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