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David Wölfle
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Fast power curve and yield estimation of pumping airborne wind energy systems
M Ranneberg, D Wölfle, A Bormann, P Rohde, F Breipohl, I Bastigkeit
Airborne Wind Energy: Advances in Technology Development and Research, 623-641, 2018
222018
A guide for the design of benchmark environments for building energy optimization
D Wölfle, A Vishwanath, H Schmeck
Proceedings of the 7th ACM international conference on systems for energy …, 2020
182020
Which model to trust: Assessing the influence of models on the performance of reinforcement learning algorithms for continuous control tasks
G Arcieri, D Wölfle, E Chatzi
arXiv preprint arXiv:2110.13079, 2021
32021
A Concept for Standardized Benchmarks for the Evaluation of Control Strategies for Building Energy Management
D Wölfle, K Förderer, H Schmeck
Energy informatics, 2019
32019
BEMCom: a framework for the efficient creation of hardware abstraction layers for building energy management
D Wölfle, M Lösch, H Schmeck
ACM SIGENERGY Energy Informatics Review 2 (1), 20-25, 2022
12022
Open Energy Services--Forecasting and Optimization as a Service for Energy Management Applications at Scale
D Wölfle, K Förderer, T Riedel, L Landwich, R Mikut, V Hagenmeyer, ...
arXiv preprint arXiv:2402.15230, 2024
2024
TBMEnv-An Environment to Assess the Accuracy of Thermal Building Models under Realistic Conditions
D Wölfle, SR Vossberg, H Schmeck
Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023
2023
Long-Term Corrected Wind Resource Estimation for AWE Converters
D Wölfle
2017
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