Hülsmann, Jonas ; Sieben, Lennart J. ; Mesgar, Mohsen ; Steinke, Florian (2021)
A Natural Language Interface for an Energy System Model.
11th IEEE PES Innovative Smart Grid Technologies Conference Europe. virtual Conference (18.-21.10.2021)
doi: 10.1109/ISGTEurope52324.2021.9640196
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Energy system models are widely used for operation and expansion planning, scaling from single houses up to supranational energy grids. They can provide essential input for decision makers. These are, however, often non-technical persons and thus unfamiliar with mathematical modeling, which makes them reliant on others to explain the model results to them. In order to make energy system models more directly accessible, we introduce a chatbot that enables also non-expert users to interact with an energy system model through natural language. Built with state-of-the-art natural language processing tools, it allows to manipulate the model inputs and can interactively answer questions about the results, both in free-form text and via structured plots. We present example interactions for a model of the German energy transition.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Hülsmann, Jonas ; Sieben, Lennart J. ; Mesgar, Mohsen ; Steinke, Florian |
| Art des Eintrags: | Bibliographie |
| Titel: | A Natural Language Interface for an Energy System Model |
| Sprache: | Englisch |
| Publikationsjahr: | 21 Dezember 2021 |
| Verlag: | IEEE |
| Buchtitel: | Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) |
| Veranstaltungstitel: | 11th IEEE PES Innovative Smart Grid Technologies Conference Europe |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 18.-21.10.2021 |
| DOI: | 10.1109/ISGTEurope52324.2021.9640196 |
| Kurzbeschreibung (Abstract): | Energy system models are widely used for operation and expansion planning, scaling from single houses up to supranational energy grids. They can provide essential input for decision makers. These are, however, often non-technical persons and thus unfamiliar with mathematical modeling, which makes them reliant on others to explain the model results to them. In order to make energy system models more directly accessible, we introduce a chatbot that enables also non-expert users to interact with an energy system model through natural language. Built with state-of-the-art natural language processing tools, it allows to manipulate the model inputs and can interactively answer questions about the results, both in free-form text and via structured plots. We present example interactions for a model of the German energy transition. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Energieinformationsnetze und Systeme (EINS) 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik Forschungsfelder Forschungsfelder > Energy and Environment Forschungsfelder > Energy and Environment > Integrated Energy Systems |
| Hinterlegungsdatum: | 22 Jul 2021 07:20 |
| Letzte Änderung: | 16 Feb 2022 14:38 |
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