<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presented the research on heat load prediction method of central heating system. The combined simulation data at Xi’an in January was used as the samples for training and predicting. This paper selected the daily average outdoor wind speed, the daily average outdoor temperature, date type, sunshine duration as input variables and the heating load value as output variable. After preprocessing of the historical data, the BP neural network algorithm and the GA-BP algorithm were employed to predict and verify heat load respectively. Based on the analysis of prediction results, it showed that the error between the predicted data and the actual value using the BP algorithm is large (maximum:-39.8%) and not suitable for heating load prediction while the error between the predicted data and the actual value using the GA-BP algorithm is small (maximum:- 16.6%) and within the acceptable range. This paper provided a feasible method for heating load prediction.</p>
</abstract>

This paper presented the research on heat load prediction method of central heating system. The combined simulation data at Xi’an in January was used as the samples for training and predicting. This paper selected the daily average outdoor wind speed, the daily average outdoor temperature, date type, sunshine duration as input variables and the heating load value as output variable. After preprocessing of the historical data, the BP neural network algorithm and the GA-BP algorithm were employed to predict and verify heat load respectively. Based on the analysis of prediction results, it showed that the error between the predicted data and the actual value using the BP algorithm is large (maximum:-39.8%) and not suitable for heating load prediction while the error between the predicted data and the actual value using the GA-BP algorithm is small (maximum:- 16.6%) and within the acceptable range. This paper provided a feasible method for heating load prediction.

Prediction of the Heat Load in Central Heating Systems Using GA-BP Algorithm

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Prediction of the Heat Load in Central Heating Systems Using GA-BP Algorithm"}

This paper presented the research on heat load prediction method of central heating system. The combined simulation data at Xi’an in January was used as the...

Prediction of the Heat Load in Central Heating Systems Using GA-BP Algorithm

Pubblicato online: 09 apr 2018

Pagine: 137 - 141

DOI: https://doi.org/10.21307/iccnea.2017.90

Parole chiave
Central heating, Heat load, BP network, GA-BP network, Heating network

© 2017 Bingqing Guo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Prediction of the Heat Load in Central Heating Systems Using GA-BP Algorithm

Pubblicato online: 09 apr 2018

Pagine: 137 - 141

DOI: https://doi.org/10.21307/iccnea.2017.90

Parole chiaveCentral heating, Heat load, BP network, GA-BP network, Heating network

© 2017 Bingqing Guo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Central heating, Heat load, BP network, GA-BP network, Heating network