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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Irl, M.; Lambert, J.; Wieland, C.; Spliethoff, H. 
Titel:
Development of an Operational Planning Tool for Geothermal Plants With Heat and Power Production 
Abstract:
A short-term operational planning tool for geothermal plants with heat and power production connected to large district heating systems is developed. The software tool contains, among other features, a heat demand forecasting model for district heating systems. Two options, such as linear regression and artificial neural networks, are compared. As the result shows, artificial neural networks with the Bayesian Regularization Backpropagation Algorithm have a high generalization capability and are...    »
 
Stichworte:
geothermal energy, heat energy generation/storage/transfer, power (co-) generation, renewable energy 
Zeitschriftentitel:
Journal of Energy Resources Technology 
Jahr:
2020 
Band / Volume:
142 
Heft / Issue:
Nachgewiesen in:
Scopus; Web of Science 
Reviewed:
ja 
Sprache:
en 
Volltext / DOI:
Verlag / Institution:
ASME International 
E-ISSN:
0195-07381528-8994 
Publikationsdatum:
05.08.2020 
TUM Einrichtung:
Lehrstuhl für Energiesysteme