Prediction of heating energy consumption in university building based on simplified artificial neural networks
Само за регистроване кориснике
2014
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In this paper, the main objective is to predict heating energy consumption using a simple artificial neural network. For training and testing the network daily consumption for NTNU University campus Gløshaugen and mean outside temperatures were used. Training of the network was performed by using Levenberg–Marquardt (LM) feed-forward backpropagation algorithms. Different indices of the prediction accuracy were calculated for training and testing. Simplified model showed that it can predict heating consumption with adequate accuracy. Creating a model of energy use helps in future building planning; it can provide useful information about most probable energy consumption for similar buildings, or predict energy use in different conditions.
Кључне речи:
heating energy consumption / prediction / artificial neuron networkИзвор:
Proceedings of the 18th International Research/Expert Conference “Trends in the Development of Machinery and associated Technology”, 2014, 18, 1, 155-158Финансирање / пројекти:
- Norwegian Programme in Higher Education, Research and Development in the Western Balkans, Programme 3: Energy Sector (HERD Energy)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Jovanović, Radiša AU - Sretenović, Aleksandra AU - Živković, Branislav PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5053 AB - In this paper, the main objective is to predict heating energy consumption using a simple artificial neural network. For training and testing the network daily consumption for NTNU University campus Gløshaugen and mean outside temperatures were used. Training of the network was performed by using Levenberg–Marquardt (LM) feed-forward backpropagation algorithms. Different indices of the prediction accuracy were calculated for training and testing. Simplified model showed that it can predict heating consumption with adequate accuracy. Creating a model of energy use helps in future building planning; it can provide useful information about most probable energy consumption for similar buildings, or predict energy use in different conditions. C3 - Proceedings of the 18th International Research/Expert Conference “Trends in the Development of Machinery and associated Technology” T1 - Prediction of heating energy consumption in university building based on simplified artificial neural networks EP - 158 IS - 1 SP - 155 VL - 18 UR - https://hdl.handle.net/21.15107/rcub_machinery_5053 ER -
@conference{ author = "Jovanović, Radiša and Sretenović, Aleksandra and Živković, Branislav", year = "2014", abstract = "In this paper, the main objective is to predict heating energy consumption using a simple artificial neural network. For training and testing the network daily consumption for NTNU University campus Gløshaugen and mean outside temperatures were used. Training of the network was performed by using Levenberg–Marquardt (LM) feed-forward backpropagation algorithms. Different indices of the prediction accuracy were calculated for training and testing. Simplified model showed that it can predict heating consumption with adequate accuracy. Creating a model of energy use helps in future building planning; it can provide useful information about most probable energy consumption for similar buildings, or predict energy use in different conditions.", journal = "Proceedings of the 18th International Research/Expert Conference “Trends in the Development of Machinery and associated Technology”", title = "Prediction of heating energy consumption in university building based on simplified artificial neural networks", pages = "158-155", number = "1", volume = "18", url = "https://hdl.handle.net/21.15107/rcub_machinery_5053" }
Jovanović, R., Sretenović, A.,& Živković, B.. (2014). Prediction of heating energy consumption in university building based on simplified artificial neural networks. in Proceedings of the 18th International Research/Expert Conference “Trends in the Development of Machinery and associated Technology”, 18(1), 155-158. https://hdl.handle.net/21.15107/rcub_machinery_5053
Jovanović R, Sretenović A, Živković B. Prediction of heating energy consumption in university building based on simplified artificial neural networks. in Proceedings of the 18th International Research/Expert Conference “Trends in the Development of Machinery and associated Technology”. 2014;18(1):155-158. https://hdl.handle.net/21.15107/rcub_machinery_5053 .
Jovanović, Radiša, Sretenović, Aleksandra, Živković, Branislav, "Prediction of heating energy consumption in university building based on simplified artificial neural networks" in Proceedings of the 18th International Research/Expert Conference “Trends in the Development of Machinery and associated Technology”, 18, no. 1 (2014):155-158, https://hdl.handle.net/21.15107/rcub_machinery_5053 .