Zusammenfassung
Um die Klimakrise zu bewältigen, haben Regierungen auf der ganzen Welt zugestimmt, globale Kohlenstoffreduktionsziele von 50 % im Vergleich zum Niveau der 1990er Jahre festzulegen.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Literatur
Alasali F, Haben S, Becerra V, Holderbaum W (2017) Optimal energy management and mpc strategies for electrified rtg cranes with energy storage systems. Energies 10(10)
Alasali F, Haben S, Becerra V, Holderbaum W (2018) Day-ahead industrial load forecasting for electric rtg cranes. J Modern Power Syst Clean Energy 6:223–234
Alasali F, Haben S, Holderbaum W (2019a) Energy management systems for a network of electrified cranes with energy storage. Int J Electr Power Energy Syst 106:210–222
Alasali F, Haben S, Holderbaum W (2019b) Stochastic optimal energy management system for rtg cranes network using genetic algorithm and ensemble forecasts. J Energy Storage 24:100759
Alasali F, Haben S, Foudeh H, Holderbaum W (2020) A comparative study of optimal energy management strategies for energy storage with stochastic loads. Energies 13(10)
Alasali F, Foudeh H, Ali E, Nusair K, Holderbaum W (2021) Forecasting and modelling the uncertainty of low voltage network demand and the effect of renewable energy sources. Energies 14:2151
Haben S, Rowe M, Greetham DV, Grindrod P, Holderbaum W, Potter B, Singleton C (2013) Mathematical solutions for electricity networks in a low carbon future. In: 22nd international conference and exhibition on electricity distribution (CIRED 2013). Stockholm, Sweden
Yunusov T, Haben S, Lee T, Ziel F, Holderbaum W, Potter B (2017) Evaluating the effectiveness of storage control in reducing peak demand on low voltage feeders. In: Proceedings of the 24th international conference on electricity distribution (CIRED)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2023 Der/die Autor(en), exklusiv lizenziert an Springer Nature Switzerland AG
About this chapter
Cite this chapter
Holderbaum, W., Alasali, F., Sinha, A. (2023). Einführung. In: Energieprognose und Steuerungsmethoden für Energiespeichersysteme in Verteilungsnetzen. Springer Vieweg, Cham. https://doi.org/10.1007/978-3-031-45471-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-45471-4_1
Published:
Publisher Name: Springer Vieweg, Cham
Print ISBN: 978-3-031-45470-7
Online ISBN: 978-3-031-45471-4
eBook Packages: Computer Science and Engineering (German Language)