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Bridging Digital Twins and Life-Cycle-Aware Dispatch of Power-to-X Assets: ACritical Perspective for Grid Flexibility

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Dynamic optimization of proton exchange membrane water electrolyzers considering usage‐based degradation
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Electrolyzer modeling and real-time control for optimized production of hydrogen gas
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Digital twin driven life-cycle operation optimization for combined cooling heating and power-cold energy recovery (CCHP-CER) system
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Optimized Operation of Distributed Energy Resources: The Opportunities of Value Stacking for Power-to-Gas Aggregated With PV
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Digital twin of a MWh-scale grid battery system for efficiency and degradation analysis
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Unlock the aggregated flexibility of electricity-hydrogen integrated virtual power plant for peak-regulation
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Cybersecurity of distributed energy resource systems in the smart grid: A survey
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Data-driven surrogate modeling for performance prediction and sensitivity analysis of transport properties in proton exchange membrane water electrolyzers
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A critical review of remaining useful life prediction for water Electrolyzers: From degradation mechanisms to prognostic models
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Privacy-preserving utilization of distribution system flexibility for enhanced TSO-DSO interoperability: A novel machine learning-based optimal power flow approach
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A decomposition method for optimizing the operation of power-to-X energy systems with detailed process models
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Trustworthy digital twins for thermal and energy conversion systems: physics-grounded modeling, uncertainty-aware prediction, and operational decision support
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Partial load efficiency degradation of a water-to-water heat pump under fixed set-point control
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A design methodology for thermal storages in heat pump systems to reduce partial-load losses
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Power-to-X: A review and perspective
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Optimal scheduling of a large-scale power-to-ammonia process: Effects of parameter optimization on the indirect demand response potential
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A conic model for electrolyzer scheduling
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Physics-Informed Neural Network for modeling and predicting temperature fluctuations in proton exchange membrane electrolysis
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Combined scheduling and capacity planning of electricity-based ammonia production to integrate renewable energies
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Development and real-world implementation of a Digital Twin-enhanced supervisory system for RES-green hydrogen microgrid
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Lab-scale green hydrogen and fuel cell microgrid digital twin
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Assessing the impact of PEM electrolyser degradation for green hydrogen production: Power variability and ageing effects
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Evaluation of the effects of the operation strategy of a steam power plant on the residual life of its devices
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A deep learning-based digital twin model for the temperature field of large-scale battery systems
inferredcites →https://doi.org/10.1016/j.ijhydene.2024.05.313openalex-snapshot
Post-occurrence cybersecurity of Power-to-Gas hydrogen-based energy hubs using real-time optimal adaptive feasibility area estimation
inferredcites →https://doi.org/10.1016/j.ijhydene.2025.04.098openalex-snapshot
AI-driven surrogate modelling for simulating hydrogen production via proton exchange membrane water electrolysers
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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Modeling an alkaline electrolysis cell through reduced-order and loss-estimate approaches
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Distributed cooperative industrial demand response
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Self-loop physics-informed neural network for model predictive control of PEM electrolyzers
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Dynamic operation of proton exchange membrane electrolyzers—Critical review
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Optimal dispatch strategy in remote hybrid power systems
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Opportunities and Challenges for Renewable Power-to-X
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Multiobjective Bayesian Optimization Framework for the Synthesis of Methanol from Syngas Using Interpretable Gaussian Process Models
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Momentum is increasing towards a flexible electricity system based on renewables
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Physics-informed machine learning
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Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
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Impact of Denial-of-Service Cyberattacks on Hydrogen Refueling Stations in An Integrated Transportation and Electric Power System
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Optimal Control of Battery Energy Storage for Wind Farm Dispatching
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Transient Stability-Constrained Unit Commitment Using Input Convex Neural Network
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A United Approach to Optimal Real and Reactive Power Dispatch
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Sensor-Driven Condition-Based Generator Maintenance Scheduling—Part II: Incorporating Operations
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Architecture and Algorithms for Privacy Preserving Thermal Inertial Load Management by a Load Serving Entity
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Integrated Predictive Analytics and Optimization for Opportunistic Maintenance and Operations in Wind Farms
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Stochastic Optimization of Maintenance and Operations Schedules Under Unexpected Failures
inferredcites →https://doi.org/10.1109/tpwrs.2020.3048401openalex-snapshot
Power System Dispatch With Marginal Degradation Cost of Battery Storage
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Modelling and Characterisation of Flexibility From Distributed Energy Resources
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Cybersecurity for Hydrogen Integrated Power Systems: Vulnerability Identification and Impact Analysis With Attack Defense Strategy
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False Data Injection Attacks Against State-of-Charge Estimation of Battery Energy Storage Systems in Smart Distribution Networks
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Moving-Target Defense Against Cyber-Physical Attacks in Power Grids via Game Theory
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Dynamic Modeling and Analysis for Electricity-Gas Systems With Electric-Driven Compressors
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Cybersecurity by Design for Resilient Voltage Regulation in Active Distribution Networks
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Decentralized Privacy-Preserving Operation of Multi-Area Integrated Electricity and Natural Gas Systems With Renewable Energy Resources
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Hybrid digital twin and physics-informed surrogate optimization for dynamic power-to-methanol under renewable intermittency
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Digital twin concepts for linking live sensor data with real-time models
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