A comprehensive thermal load forecasting analysis based on machine learning algorithms

Precise forecasting of thermal loads is a critical factor for economic and efficient operation of district heating and cooling networks. If thermal loads are known with high accuracy in advance, use of renewable energies can be maximized, and – in combination with thermal storage units – fossil gene...

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Bibliographic Details
Main Authors: Stefan Leiprecht, Fabian Behrens, Till Faber, Matthias Finkenrath
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721007435