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Digital Factory Vorarlberg GmbH

Homepage: vactory.at
Alternate names: Digital Factory Vorarlberg, VACTORY
ROR: 00jz46m67
OpenAlex ID: I4405276866
Load forecasting for households and energy communities: Are deep learning models worth the effort?
2026 · Lukas Moosbrugger, Valentin Seiler, et al. · Next Energy · 15
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Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach
2024 · Philipp Wohlgenannt, Sebastian Hegenbart, et al. · Energies · 10
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A Cloud-Based Research and Learning Factory for Industrial Production
2020 · Robert Merz, Ralph Hoch, et al. · Procedia Manufacturing · 9
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Secure Computation and Trustless Data Intermediaries in Data Spaces
2026 · Christoph Fabianek, Stephan Krenn, et al. · Communications in computer and information science · 8
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Using Randomization in Self-organized Synchronization for Wireless Networks
2023 · Jorge F. Schmidt, Udo Schilcher, et al. · ACM Transactions on Autonomous and Adaptive Systems · 5
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Using an Auction-Based System in Cloud Manufacturing for Selecting Manufacturing-as-a-Service Providers
2021 · Kelvin Sparr, Damian Drexel, et al. · IFIP advances in information and communication technology · 5
Energy cost and emission optimization in food industry using deep reinforcement learning and Transformer-based load forecasting
2025 · Philipp Wohlgenannt, Lukas Moosbrugger, et al. · Energy Conversion and Management X · 4
Topology-Hiding Path Validation for Large-Scale Quantum Key Distribution Networks
2026 · Stephan Krenn, Omid Mir, et al. · Lecture notes in computer science · 3
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Energy-Aware Relaying in Dense LoRa Networks With Heterogeneous Batteries
2023 · Sonu Rathi, Jorge F. Schmidt, et al. · IEEE Networking Letters · 3
Using Digital Twins in Learning Factories for Simulation and Optimization
2023 · Kelvin Sparr, Philipp Steurer, et al. · SSRN Electronic Journal · 3
Optimal Sizing and Operation of a Battery Energy Storage System for Demand Response in a Food Processing Plant Using Deep Learning for Load Forecasting
2025 · Philipp Wohlgenannt, Lukas Moosbrugger, et al. · Preprints.org · 2
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Protecting Privacy in Federated Time Series Analysis: A Pragmatic Technology Review for Application Developers
2025 · Daniel Bachlechner, Ruben Hetfleisch, et al. · International Conference on Cloud Computing and Services Science · 2
Vision-Based Human Awareness Estimation for Enhanced Safety and Efficiency of AMRs in Industrial Warehouses
2025 · Maximilian Haug, Christian Stippel, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 1
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Towards Privacy-Preserving Machine Learning for Energy Prediction in Industrial Robotics: Modeling, Evaluation and Integration
2025 · Adam Skuta, Philipp Steurer, et al. · Machines · 1
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Federated Coreset Subsampling for Distributed Memory Banks
2026 · Witzemann, Jason, Pröll, Daniel, et al. · arXiv (Cornell University)
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Certifying Hidden Paths: Scalable Topology Assurance for QKD Networks
2026 · Colombo, Alessandro, Cozzolino, Margherita, et al. · arXiv (Cornell University)
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Visual Anomaly Synthesis for Model Selection in Data Scarcity
2026 · Pröll, Daniel, Kraxner, Thomas, et al. · arXiv (Cornell University)
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Two-Layer Ultra-Wideband Localization: Scalability for Dense Wearable Motion Capture
2026 · Dominik Müller, Michael Sonnberger, et al. · Sensors
Seamless Post-Quantum Transition: Agile and Efficient Encryption for Data-at-Rest
2025 · Federico Valbusa, Stephan Krenn, et al. · International Conference on Security and Cryptography
Calculating the Traffic Density in LPWANs with Finite Retransmissions
2024 · Udo Schilcher, Stavros Toumpis, et al. · IEEE Vehicular Technology Conference
Testing the Limits of 5G Communication with Articulated Robots in Various Traffic Conditions
2023 · Michael Sonnberger, Robert Merz, et al. · IEEE Conference on Standards for Communications and Networking
Works count: 21
Citation count: 108
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