Hien, S. (2017). Approaches for supportive prediction of biogas production rate and control strategies to provide flexible power production [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/31245 |
  | Hien, S., & Hansen, J. (2016). Biogasprognose zur Integration von Kläranlagen in virtuelle Kraftwerke. In Bedarfsgerechte Energiebereitstellung durch Kläranlagen als Baustein der Energiewende.  Peer reviewed |
Hien, S., Becker, M., Hansen, J., Taudien, Y., Schirmer, G., & Kolisch, G. (2016). Potential for energy optimisation on WWTP in NWE (Benchmark report) - INTERREG IVB-Projektes INNERS. |
Hien, S., & Hansen, J. (2015). Illuminate the Black-Box. Attempt to identify important variables for biogas prediction with artificial neural networks based on artificially produced datasets from the ADM1 [Paper presentation]. 4th YWP BeNeLux Regional Symposium. |
 | Hansen, J., Hien, S., Kolisch, G., & Hobus, I. (2015). Innovative Strategien zum Umgang mit Energie im urbanen Wasserkreislauf. Wasserwirtschaft Wassertechnik. Peer reviewed |
Hien, S., & Hansen, J. (2015). Predicting biogas production rate with Black/Grey-Box-Models based on artificially produced datasets [Poster presentation]. 9th IWA Symposium on Systems Analysis and Integrated Assessment. |
 | Hien, S., & Hansen, J. (2015). Integration of Wastewater Treatment Plants and Biogas Plants in the concept of Virtual Power Plants. In Environmental Technology for Impact 2015 Book of abstracts. Peer reviewed |