Titel	Veröffentlichungsdatum	Sprache	Zitate
FedDiSC: A computation-efficient federated learning framework for power systems disturbance and cyber attack discrimination	2023/10/01	English	3
Conditional Generative Adversarial Networks for modelling fuel sprays	2023/04/01	English	3
Effective rural electrification via optimal network: Optimal path-finding in highly anisotropic search space using multiplier-accelerated A* algorithm	2022/01/01	English	3
RED WoLF hybrid energy storage system: Algorithm case study and green competition between storage heaters and heat pump	2023/10/01	English	2
Fit for purpose: Modeling wholesale electricity markets realistically with multi-agent deep reinforcement learning	2023/10/01	English	2
Development and assessment of artificial neural network models for direct normal solar irradiance forecasting using operational numerical weather prediction data	2024/01/01	English	2
AI-enabled materials discovery for advanced ceramic electrochemical cells	2024/01/01	English	2
A generative adversarial network (GAN) approach to creating synthetic flame images from experimental data	2023/07/01	English	2
Next-generation blockchain enabled smart grid: Conceptual framework, key technologies and industry practices review	2023/04/01	English	2
Power flow forecasts at transmission grid nodes using Graph Neural Networks	2023/10/01	English	2
Safe reinforcement learning for multi-energy management systems with known constraint functions	2023/04/01	English	2
Development and evaluation of a vision driven sensor for estimating fuel feeding rates in combustion and gasification processes	2024/01/01	English	2
Enhancing hourly heat demand prediction through artificial neural networks: A national level case study	2024/01/01	English	2
VISION-iT: A Framework for Digitizing Bubbles and Droplets	2024/01/01	English	2
Visualization-based prediction of dendritic copper growth in electrochemical cells using convolutional long short-term memory	2022/11/01	English	2
Stress testing electrical grids: Generative Adversarial Networks for load scenario generation	2022/08/01	English	2
Methodology for the disaggregation and forecast of demand flexibility in large consumers with the application of non-intrusive load monitoring techniques	2023/07/01	English	2
Deep convolutional surrogates and freedom in thermal design	2023/07/01	English	2
Upsampling Monte Carlo neutron transport simulation tallies using a convolutional neural network	2023/07/01	English	2
Screening outstanding mechanical properties and low lattice thermal conductivity using global attention graph neural network	2023/10/01	English	2
Coaxial multi-criteria optimization of a methane steam reforming reactor for effective hydrogen production and thermal management	2023/07/01	English	2
A VAE-Bayesian deep learning scheme for solar power generation forecasting based on dimensionality reduction	2023/10/01	English	2
SolarGAN: Synthetic annual solar irradiance time series on urban building facades via Deep Generative Networks	2023/04/01	English	2
An explainable AI framework for robust and transparent data-driven wind turbine power curve models	2024/01/01	English	2
Confidence estimation in the prediction of epithermal neutron resonance self-shielding factors in irradiation samples using an ensemble neural network	2022/01/01	English	2
Development and comparison of local solar split models on the example of Central Europe	2023/04/01	English	1
Temporally resolving premixed turbulent flame structures using self-supervised adversarial reconstruction of CH-PLIF	2023/01/01	English	1
Quasi-optimal control of a solar thermal system via neural networks	2023/04/01	English	1
Applying machine learning techniques to predict detonation initiation from hot spots	2022/08/01	English	1
Increasing power plant efficiency with clustering methods and Variable Importance Index assessment	2021/09/01	English	1