Comparison of short-term electrical load forecasting methods for different building types

Comparison of short-term electrical load forecasting methods for different building types

Abstract The transformation of the energy system towards volatile renewable generation, increases the need to manage decentralized flexibilities more efficiently. For this, precise forecasting of uncontrollable electrical load is key. Although there is an abundance of studies presenting innovative i...

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Bibliographic Details
Main Authors: Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun, David Fischer
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Energy Informatics
Subjects:
Forecasting
Machine learning
Electrical load
Online Access:https://doi.org/10.1186/s42162-021-00172-6

Internet

https://doi.org/10.1186/s42162-021-00172-6

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