Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/286B50BD-E3C5-421A-AB35-E7B8E34888BE | - |
| Αναγνωριστικό | http://www.srcosmos.gr/srcosmos/showpub.aspx?aa=16498 | - |
| Γλώσσα | en | - |
| Τίτλος | Neuro-fuzzy model based predictive algorithm for environmental management of buildings | en |
| Δημιουργός | Sotirios Papantoniou | en |
| Δημιουργός | Παπαντωνιου Σωτηριος | el |
| Δημιουργός | Kolokotsa Dionysia | en |
| Δημιουργός | Κολοκοτσα Διονυσια | el |
| Δημιουργός | Pouliezos Anastasios | en |
| Δημιουργός | Πουλιεζος Αναστασιος | el |
| Περίληψη | This paper presents an algorithm used for predicting indoor environmental conditions in buildings considering outdoor conditions such as outdoor temperature and humidity as well as window position and operating conditions of an air conditioning unit. Sensors which are part of an existing Building Energy Management System (BEMS) read necessary data in real time and the values are also stored in database for further analysis. The pre-mentioned algorithms are based on an Adaptive-Network-Based Fuzzy Inference System (ANFIS) which are trained and validated with historical data stored in the database. The results of predicting indoor environmental conditions over a considerable predictive horizon are presented and discussed. Further development is planned on the development of smaller systems based on microcomputers to store data from sensors, run the main control algorithms and actuate the necessary components | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| Ημερομηνία | 2015-11-13 | - |
| Ημερομηνία Δημοσίευσης | 2012 | - |
| Βιβλιογραφική Αναφορά | S. Papantoniou, D. Kolokotsa, A. Pouliezos," Neuro-fuzzy model based predictive algorithm for environmental management of buildings," in Proceedings of 3rd International Conference on Industrial and Hazardous Waste Management,2012. | en |
Copyright © DIAS 2013
