Can energy system modeling benefit from artificial neural networks? Application of two-stage metamodels to reduce computation of security of supply assessments

Author:

Nolting LarsORCID,Spiegel Thomas,Reich Marius,Adam Mario,Praktiknjo AaronORCID

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference37 articles.

1. Agora Energiewende (2017). Kohleausstieg, Stromimporte und -exporte sowie Versorgungssicherheit (Coal phase-out, electricity imports/exports and security of supply). Retrieved from https://goo.gl/AaVEnN.

2. Advances in artificial neural networks, machine learning and computational intelligence;Aiolli;Neurocomputing,2018

3. Biedermann, T., Reich, M., Kameier, F., Adam, M., & Paschereit, C. (2018). Assessment of Statistical Sampling Methods and Approximation Models Applied to Aeroacoustic and Vibroacoustic Problems. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 257, pp. 13–24). Institute of Noise Control Engineering.

4. BNetzA (2018a). Quality of supply. Retrieved January 22, 2019, from https://goo.gl/8epqoo.

5. BNetzA (2018b). Kraftwerksliste (Power plant list). Retrieved from https://goo.gl/L5zqPK.

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