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Papers matching “network load reduction” 53

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A physics-informed neural network (PINN) framework for inverse mixed contact-traction tire-load reconstruction and finite-layer pavement response
2026 Computers and Geotechnics article Physics and Astronomy Model Reduction and Neural Networks Open access

Dong Feng

2

citations
End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control
2022 Energies article Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Alexander Winkler, Jakub McNally, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, +2 more

18

citations
Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) conference-paper Engineering Energy Load and Power Forecasting Open access

Gonca Gürses-Tran, Hendrik Flamme, Antonello Monti

9

citations
Nonlinear Model Reduction Methods for Real-Time Nonlinear Model Predictive Control of Process Systems
2025 RWTH Publications (RWTH Aachen) book Engineering Advanced Control Systems Optimization Open access

Jan C. Schulze

0

citations
Reconfigurable Computing in Neural Network‐Enhanced Finite Element Analysis in Structural Dynamics
2026 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Vasileios Polydoras, Saurabh Balkrishna Tandale, Marcus Stoffel

0

citations
Spectral contact networks for granular base load spreading
2026 International Journal of Mechanical Sciences article Engineering Geotechnical Engineering and Soil Mechanics Open access

Dong Feng

6

citations
Graph Neural Network enhanced Finite Element modelling
2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Rutwik Gulakala, Bernd A. Markert, Marcus Stoffel

36

citations
Physics‐Based Spiking Neural Network as a Surrogate Model for Viscoplastic Material Law in Impulsively Loaded Beams
2024 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Vasileios Polydoras, Saurabh Balkrishna Tandale, Marcus Stoffel

4

citations
Increasing the prediction quality of artificial neural network–based optimisation approaches for the sheet moulding compound compression moulding process by means of targeted expansion of training data
2024 The International Journal of Advanced Manufacturing Technology article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Christian Hopmann, Marie Hadenfeldt, Jonas Neuhaus, Dominik Foerges

3

citations
Comparative efficacy of intravitreal anti‐ VEGF therapy for neovascular age‐related macular degeneration: A systematic review with network meta‐analysis
2025 Acta Ophthalmologica review Medicine Retinal Diseases and Treatments Open access

Emilie T. S. Butler, Andreas Arnold‐Vangsted, Marianne Guldager Schou, Rodrigo Anguita, Jakob Bjerager, Enrico Borrelli, +12 more

18

citations
Damage Detection in Strain Gauge Networks Using Reduced Measurement Outputs
2026 e-Journal of Nondestructive Testing article Engineering Structural Health Monitoring Techniques Open access

Lucas Dietz, Kai‐Uwe Schröder

0

citations
From volume to pollution: a review of real-time control potential for combined sewer systems
2026 Water Science & Technology article Environmental Science Urban Stormwater Management Solutions Open access

Sebastian Kerger, Stefan Kröll, Leon Trojan, Thomas Wintgens

0

citations
Efficiency and scalability exploration of an application-specific instruction-set processor for deep convolutional neural networks
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Neural Network Applications Open access

Andreas Bytyn

0

citations
Adaptive Modulation of Resonant DAB Converters for Wide Range ZVS Operation With Minimum Reactive Circulating Power
2022 IEEE Transactions on Industry Applications article Engineering Advanced DC-DC Converters Open access

L. D. James, C. A. Teixeira, Richardt Howard Wilkinson, Brendan Peter McGrath, Donald Grahame Holmes, Jan Riedel

23

citations
Embedded Real-Time Nonlinear Model Predictive Control for the Thermal Torque Derating of an Electric Vehicle
2021 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access

Alexander Winkler, Jonathan Frey, Timm Fahrbach, Gianluca Frison, René Scheer, Moritz Diehl, +1 more

10

citations
Multi-Objective Optimization for IoT Tasks based Data Replication Placement in Fog Computing
2022 Research Square preprint Computer Science Cloud Computing and Resource Management Open access

Ahmed Awad Mohamed, Alhanouf Alburaikan, Hamiden Abd El‐Wahed Khalifa, Mohamed Abd Elaziz, Laith Abualigah, Ahmed M. AbdelMouty

1

citations
Principal component density estimation for scenario generation using normalizing flows
2022 Data-Centric Engineering article Engineering Energy Load and Power Forecasting Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

14

citations
Principal Component Density Estimation for Scenario Generation Using Normalizing Flows
2021 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

0

citations
Virtual sensor based on machine learning for estimating gearbox input loads in wind turbines
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Machine Fault Diagnosis Techniques Open access

Baher Azzam

0

citations
Objectives, Requirements and Implementation of a Service Restoration Algorithm for AC-DC Distribution Grids
2022 International Conference on Smart Energy Systems and Technologies (SEST) conference-paper Engineering Optimal Power Flow Distribution Open access

Alberto Dognini, Ferdinanda Ponci, Antonello Monti

1

citations
Hyperreduction accelerates finite element model updating for the discovery of neural materials
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Hagen Holthusen, Matthias Knipper, Kevin Linka

0

citations
Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis
2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access

Saurabh Balkrishna Tandale, Marcus Stoffel

12

citations
Implementation of a machine learning supported model predictive control for a 5th generation district heating and cooling energy hub
2026 Energy and AI article Engineering Integrated Energy Systems Optimization Open access

Kai Droste, Aron Schwartz, K Derzsi, Rahul Karuvingal, Thomas Schreiber, Dirk Müller

5

citations
PINN-Based Design of Cold Bent Monolithic Glass
2026 Challenging glass conference proceedings conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access

Maximilian Laurs, Markus Feldmann, Michael Anton Kraus

0

citations
A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage
2023 Energy Conversion and Management article Engineering Integrated Energy Systems Optimization Open access

Erdmann Anselm, Anna Marcellan, Jan Stock, David Neuroth, Christian Utama, Michael Suriyah, +16 more

24

citations