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Energy and AI
Title
Publication Date
Language
Citations
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
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