Wicaksono, H.; Trat, M.; Bashyal, A.; Boroukhian, T.; Felder, M.; Ahrens, M.; Bender, J.; Groß, S.; Steiner, D.; July, C.; Dorus, C.; Zoerner, T. (2023) Artificial-Intelligence-Enabled Dynamic Demand Response System for Maximizing the Use of Renewable Electricity in Production Processes. Conference on Flexible Automation and Intelligent Manufacturing. in press


Felder, M.; Steiner, D.; Busch, P.; Trat, M.; Sun, C. et al.: Energy-Flexible Job-Shop Scheduling Using Deep Reinforcement Learning. In: Herberger, D.; Hübner, M.; Stich, V. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 – 1. Hannover: publish-Ing., 2023, S. 353-362. DOI:


Wicaksono, H.; Boroukhian, T.; Bashyal A. (2021) A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning. In: Freitag M., Kotzab H., Megow N. (eds) Dynamics in Logistics. Springer, Cham.


Stromdao, SaveClimate. (2022) Whitepaper Delfine. Markttransformation zum Hybridstrommarkt.