Abstract
This study is devoted to the increasing of the heat energy demand forecasting accuracy for district heating of the public sector buildings.
The authors have analyzed forecasting techniques used for the heat energy demand forecasting for buildings with district heating. The system model for description the forecasting process as a part of the information support of the heat energy management process in the public sector institution is proposed.
The mathematical model of the heat energy demand forecasting of a public sector building have been developed. It is based on the usage of the artificial neural networks technology. It takes into account both meteorological and social components of impact on the heat energy demand. The computational experiments that prove its accuracy have been carried out. The proposed models have been implemented in the forecasting subsystem of the information and analysis system «HeatCAM».
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Parfenenko, Y., Shendryk, V., Vashchenko, S., Fedotova, N. (2015). The Forecasting of the Daily Heat Demand of the Public Sector Buildings with District Heating. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2015. Communications in Computer and Information Science, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-24770-0_17
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