Dengler G, Bazan P, German R, Lalbakhsh P, Liebmann A (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 2978-2989
Conference Proceedings Title: Proceedings - Winter Simulation Conference
Event location: San Antonio, TX, USA
ISBN: 9798350369663
DOI: 10.1109/WSC60868.2023.10408707
This paper introduces a conversational framework that enhances the usability of smart energy system simulations. This study is centered around OpenAI's Generative Pre-trained Transformer (GPT), a fine-tuned conversational model that allows users to communicate with the system in a natural way. Therefore, users can describe their simulation scenarios in plain language and GPT seamlessly translates these descriptions into Python scripts, used as inputs to the simulation environment, in our case, AnyLogic Simulation Software. Our framework is based on the i7-AnyEnergy core framework to compute distribution flows and relevant statistics. The proposed human-machine interface facilitates and accelerates simulation modeling, as demonstrated through the two scenarios we have provided in this paper. Overall, our conversational framework has the potential to significantly improve the user experience of smart energy system simulation environments. By simplifying the interaction between users and complex simulation models, we enable users to obtain valuable insights rapidly and more easily.
APA:
Dengler, G., Bazan, P., German, R., Lalbakhsh, P., & Liebmann, A. (2023). A Conversational Human-Computer Interface for Smart Energy System Simulation Environments. In Proceedings - Winter Simulation Conference (pp. 2978-2989). San Antonio, TX, USA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Dengler, Gabriel, et al. "A Conversational Human-Computer Interface for Smart Energy System Simulation Environments." Proceedings of the 2023 Winter Simulation Conference, WSC 2023, San Antonio, TX, USA Institute of Electrical and Electronics Engineers Inc., 2023. 2978-2989.
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