Abstract In urban district heating systems, the change of heat load is greatly influenced by various exterior factors. In order to meet the demand of heating system while achieving energy conservation and environmental protection, it is in this study, many kinds of artificial neural networks are compared, and a kind of Elman neural network is proposed for modeling heat load forecasting based on the temperature and the sunlight factor. The method obtains the real-time weather temperature from the Application Programming Interface (API) interface of the meteorological web site, added the illumination intensity as an input of the heat load forecasting model, and established the sample data sequence of the forecasting model. The real-time data is used to update history data and it makes up the new inputs to achieve short-term heat load rolling forecasts. The simulation results show that this method can accurately predict the future heat load, and achieve the purpose of on-demand heating, energy conservation, and environmental protection.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Elman Network of Heat Load Forecast Based on the Temperature and Sunlight Factor


    Beteiligte:
    Li, Qi (Autor:in) / Jiang, Shiqi (Autor:in) / Wu, Xudan (Autor:in)


    Erscheinungsdatum :

    2019-01-01


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    ELMAN-RECURRENT NEURAL NETWORK FOR LOAD SHEDDING OPTIMIZATION

    Aribowo, Widi | BASE | 2020

    Freier Zugriff

    Nonlinear forecasting of Freight Volume based on Elman Network Model

    Meng Zhen / Zhou Huiyu | DOAJ | 2021

    Freier Zugriff

    An Elman Neural Network-Based PH Controller for MCM Cleaning Processes

    Wang, P. / Vachtsevanos, G. | British Library Online Contents | 1996


    Short-term traffic flow prediction method based on GWO-Elman neural network

    LIU YUNXIANG / WANG JUN / YUAN XINXIN | Europäisches Patentamt | 2023

    Freier Zugriff

    Prediction of Urban Rail Transit Sectional Passenger Flow Based on Elman Neural Network

    Li, Qian ;Qin, Yong ;Wang, Zi Yang | Trans Tech Publications | 2014