Exploring Heat Demand Forecasting in District Heating Networks Using Random Parameter Linear Regression Model

Accurate forecasting of heat demand in district heating networks is essential for their efficient and sustainable operation. This paper presents a novel approach using a random parameter linear regression model to forecast heat demand, distinguishing itself from classical linear regression models by...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ali Hesham, Dedov Andrei, Volkova Anna
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Sciendo 2024-01-01
Sarja:	Environmental and Climate Technologies
Aiheet:	district heating networks forecasting models heat demand random parameter linear regression model (rplrm) seasonal variation weather impact
Linkit:	https://doi.org/10.2478/rtuect-2024-0052
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