Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Nabila, Umme Mahbuba, Seurin, Paul, Lin, Linyu, Radaideh, Majdi I. |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Variational Digital Twins
par: Burnett, Logan A., et autres
Publié: (2025)
par: Burnett, Logan A., et autres
Publié: (2025)
Nuclear Microreactor Control with Deep Reinforcement Learning
par: Tunkle, Leo, et autres
Publié: (2025)
par: Tunkle, Leo, et autres
Publié: (2025)
Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
par: Seurin, Paul, et autres
Publié: (2025)
par: Seurin, Paul, et autres
Publié: (2025)
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning
par: Radaideh, Majdi I., et autres
Publié: (2024)
par: Radaideh, Majdi I., et autres
Publié: (2024)
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
par: Erdem, Omer F., et autres
Publié: (2026)
par: Erdem, Omer F., et autres
Publié: (2026)
Physics-Embedded Neural ODEs for Sim2Real Edge Digital Twins of Hybrid Power Electronics Systems
par: Zheng, Jialin, et autres
Publié: (2025)
par: Zheng, Jialin, et autres
Publié: (2025)
Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
par: Archambault, Pascal, et autres
Publié: (2026)
par: Archambault, Pascal, et autres
Publié: (2026)
Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
par: Li, Yang, et autres
Publié: (2023)
par: Li, Yang, et autres
Publié: (2023)
A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
par: Nath, Kamaljyoti, et autres
Publié: (2024)
par: Nath, Kamaljyoti, et autres
Publié: (2024)
Integration of Multi-Mode Preference into Home Energy Management System Using Deep Reinforcement Learning
par: Sumayli, Mohammed, et autres
Publié: (2025)
par: Sumayli, Mohammed, et autres
Publié: (2025)
Multifidelity Surrogate Modeling of Depressurized Loss of Forced Cooling in High-temperature Gas Reactors
par: Eaheart, Meredith, et autres
Publié: (2026)
par: Eaheart, Meredith, et autres
Publié: (2026)
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
par: Internò, Christian, et autres
Publié: (2025)
par: Internò, Christian, et autres
Publié: (2025)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
par: Yang, Hanqing, et autres
Publié: (2024)
par: Yang, Hanqing, et autres
Publié: (2024)
Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
par: Ma, Longfei, et autres
Publié: (2024)
par: Ma, Longfei, et autres
Publié: (2024)
Control of Medical Digital Twins with Artificial Neural Networks
par: Böttcher, Lucas, et autres
Publié: (2024)
par: Böttcher, Lucas, et autres
Publié: (2024)
An IoT Framework for Building Energy Optimization Using Machine Learning-based MPC
par: Morteza, Aryan, et autres
Publié: (2024)
par: Morteza, Aryan, et autres
Publié: (2024)
Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins
par: Yin, Yanlei, et autres
Publié: (2024)
par: Yin, Yanlei, et autres
Publié: (2024)
In-Context System Identification for Nonlinear Dynamics Using Large Language Models
par: Lin, Linyu
Publié: (2026)
par: Lin, Linyu
Publié: (2026)
Active Learning for Control-Oriented Identification of Nonlinear Systems
par: Lee, Bruce D., et autres
Publié: (2024)
par: Lee, Bruce D., et autres
Publié: (2024)
Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
par: Tao, Zhenyu, et autres
Publié: (2024)
par: Tao, Zhenyu, et autres
Publié: (2024)
Real-Time AI-Driven Milling Digital Twin Towards Extreme Low-Latency
par: Liu, Wenyi, et autres
Publié: (2025)
par: Liu, Wenyi, et autres
Publié: (2025)
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks
par: Hou, Shengren, et autres
Publié: (2024)
par: Hou, Shengren, et autres
Publié: (2024)
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
par: Isaku, Erblin, et autres
Publié: (2025)
par: Isaku, Erblin, et autres
Publié: (2025)
Accounting for Optimal Control in the Sizing of Isolated Hybrid Renewable Energy Systems Using Imitation Learning
par: Halvdansson, Simon, et autres
Publié: (2026)
par: Halvdansson, Simon, et autres
Publié: (2026)
RE-LLM: Integrating Large Language Models into Renewable Energy Systems
par: Forootani, Ali, et autres
Publié: (2025)
par: Forootani, Ali, et autres
Publié: (2025)
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
par: Miller, Kevin S., et autres
Publié: (2024)
par: Miller, Kevin S., et autres
Publié: (2024)
Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision Trees
par: Gokhale, Gargya, et autres
Publié: (2024)
par: Gokhale, Gargya, et autres
Publié: (2024)
Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
par: Tao, Zhenyu, et autres
Publié: (2023)
par: Tao, Zhenyu, et autres
Publié: (2023)
Active Alignments of Lens Systems with Reinforcement Learning
par: Burkhardt, Matthias, et autres
Publié: (2025)
par: Burkhardt, Matthias, et autres
Publié: (2025)
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
par: Lin, Yu-Zheng, et autres
Publié: (2024)
par: Lin, Yu-Zheng, et autres
Publié: (2024)
Equation-Free Digital Twins for Nonlinear Structural Dynamics
par: Abaei, Mohammad Mahdi, et autres
Publié: (2026)
par: Abaei, Mohammad Mahdi, et autres
Publié: (2026)
Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System
par: Li, Xueping, et autres
Publié: (2024)
par: Li, Xueping, et autres
Publié: (2024)
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
par: Quamar, Md Muzakkir, et autres
Publié: (2024)
par: Quamar, Md Muzakkir, et autres
Publié: (2024)
High Effort, Low Gain: Fundamental Limits of Active Learning for Linear Dynamical Systems
par: Chatzikiriakos, Nicolas, et autres
Publié: (2025)
par: Chatzikiriakos, Nicolas, et autres
Publié: (2025)
Combining Physics-based and Data-driven Modeling for Building Energy Systems
par: Von Krannichfeldt, Leandro, et autres
Publié: (2024)
par: Von Krannichfeldt, Leandro, et autres
Publié: (2024)
Integrating Personalized Federated Learning with Control Systems for Enhanced Performance
par: Smith, Alice, et autres
Publié: (2025)
par: Smith, Alice, et autres
Publié: (2025)
Structural Constraints for Physics-augmented Learning
par: Kuang, Simon, et autres
Publié: (2024)
par: Kuang, Simon, et autres
Publié: (2024)
Image-based Deep Learning for Smart Digital Twins: a Review
par: Islam, Md Ruman, et autres
Publié: (2024)
par: Islam, Md Ruman, et autres
Publié: (2024)
ANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
par: Wolgast, Thomas, et autres
Publié: (2023)
par: Wolgast, Thomas, et autres
Publié: (2023)
Optimal Centered Active Excitation in Linear System Identification
par: Ito, Kaito, et autres
Publié: (2026)
par: Ito, Kaito, et autres
Publié: (2026)
Documents similaires
-
Variational Digital Twins
par: Burnett, Logan A., et autres
Publié: (2025) -
Nuclear Microreactor Control with Deep Reinforcement Learning
par: Tunkle, Leo, et autres
Publié: (2025) -
Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
par: Seurin, Paul, et autres
Publié: (2025) -
Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement Learning
par: Radaideh, Majdi I., et autres
Publié: (2024) -
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
par: Erdem, Omer F., et autres
Publié: (2026)