2026-10-13T18:07:56Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/14922026-10-09T10:58:23Zradar4kit
https://dx.doi.org/10.35097/1492
Förderer, Kevin
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models - Supplementary Materials
Karlsruhe Institute of Technology
2023
Economics
dataset
Dataset
info:eu-repo/semantics/openAccess
Other
info:eu-repo/semantics/openAccess
https://opensource.org/licenses/MIT
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.
Smart Grid
Demand Side Management
Demand Side Flexibility
Surrogate Modeling
Energy Management System
Artificial Neural Networks
Machine Learning
10.5445/IR/1000137363
KITopen-DOI
application/x-tar