An operational strategy for district heating networks: application of data-driven heat load forecasts

An operational strategy for district heating networks: application of data-driven heat load forecasts

Abstract To face the challenges of climate change, the integration of renewable energy sources in the energy-intensive heating sector is a crucial aspect of emission reduction. For an efficient operation of coupling devices such as heat pumps with intermittent sources of renewable energy, accurate h...

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Bibliographic Details
Main Authors: Armin Golla, Julian Geis, Timon Loy, Philipp Staudt, Christof Weinhardt
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Energy Informatics
Subjects:
Heat forecast
District heating
Operation strategy
Online Access:http://link.springer.com/article/10.1186/s42162-020-00125-5

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