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Rechargeable batteries for simultaneous demand peak shaving and price arbitrage business
Schneider, S. F., Novák, P., & Kober, T. (2021). Rechargeable batteries for simultaneous demand peak shaving and price arbitrage business. IEEE Transactions on Sustainable Energy, 12(1), 148-157. https://doi.org/10.1109/TSTE.2020.2988205
Multi-objective shape optimization of radio frequency cavities using an evolutionary algorithm
Kranjčević, M., Adelmann, A., Arbenz, P., Citterio, A., & Stingelin, L. (2019). Multi-objective shape optimization of radio frequency cavities using an evolutionary algorithm. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 920, 106-114. https://doi.org/10.1016/j.nima.2018.12.066
Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies
Terlouw, T., AlSkaif, T., Bauer, C., & van Sark, W. (2019). Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies. Applied Energy, 239, 356-372. https://doi.org/10.1016/j.apenergy.2019.01.227
A fast and scalable low dimensional solver for charged particle dynamics in large particle accelerators
Ineichen, Y., Adelmann, A., Bekas, C., Curioni, A., & Arbenz, P. (2012). A fast and scalable low dimensional solver for charged particle dynamics in large particle accelerators. Computer Science, 28(2-3), 192. https://doi.org/10.1007/s00450-012-0216-2