Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials
Förderer, Kevin
| Zugehörige Institution(en) am KIT | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Publikationstyp | Forschungsdaten |
| Publikationsdatum | 20.09.2021 |
| Erstellungsdatum | 14.09.2021 |
| Identifikator | DOI: 10.5445/IR/1000137363 KITopen-ID: 1000137363 |
| Lizenz | MIT License |
| Schlagwörter | Smart Grid, Demand Side Management, Demand Side Flexibility, Surrogate Modeling, Energy Management System, Artificial Neural Networks, Machine Learning |
| Liesmich | This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models. For an elaborate explanation of the contents please see README.md. |
| Art der Forschungsdaten | Dataset |
| Relationen in KITopen |