Heat demand forecasting in District Heating Network using XGBoost algorithm

Forecasting an hourly heat demand during different periods of district heating network operation is essential to optimize heat production in the CHP plant. The paper presents the heat demand model in the real district heating system with a peak load of 200 MW. The predictive model was developed with...

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Bibliographic Details
Main Authors: Bujalski Maciej, Madejski Paweł, Fuzowski Krzysztof
Format: article
Language:EN
FR
Published: EDP Sciences 2021
Subjects:
Online Access:https://doaj.org/article/81c8026fe87040349a1deb42d6ddc4dd
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