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    A Measurement-Driven Digital-Twin Methodology for Flexible Loads Voltage Control in Unknown Grids

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    Management Strategies for a Battery Participating in Day Ahead and Primary Reserve Markets Under Uncertainties

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    Metaheuristic-Based Optimal Scheduling of the Appliances and EV Charging in Grid-Connected Commercial Building Integrated With HRES and BESS Considering the BESS Discharge

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    Power Flow-Based Estimation of Short-Circuit Currents From Inverter-Based Resources

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    Representation and Impact of Water Head on Power System Planning and Operation

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    Reinforcement Learning-Based Symbolic Regression for Load Modeling

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    Comprehensive Electromagnetic Transient Modeling of Switched Reluctance Motor Drive System

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    Extending the Controllability of Minimized VA Rating Wireless Power Transfer Systems Operating in Restricted Sub-Resonant Frequency Region

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    Variable Switching Frequency Control Strategies for the SAB

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    Delays in Protection Devices and Their Effects on Selectivity: The Reaction Time Gap

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    Dual-Input Dual-Output Split-Source Inverter With Low Input Current Ripple

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    Analysis of Loss Reductions in SiC Automotive Traction Inverters Using Pulse-to-Pulse Active Gate Drivers

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    An Advanced Quadratic Boost Converter With Low Voltage Stress Devices for Renewable Energy Sources

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    A Reconfigurable Modular Topology for PV Converter to Improve Overcurrent Capacity and Flexibility

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    A Novel Reduced-Ripple Torque Control Technique for Electric Vehicle Switched Reluctance Motors Using an Adaptive Fuzzy Neural Network

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    Modified T-Type Three-Level Isolated PWM Half-Bridge DC-DC Converter With Wide ZVS Operating Range

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    Identification of Interaction Characteristics Between Control and Protection for Co-Design in an MVDC System

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    A Comprehensive Review of Galvanically Isolated DC-DC Converters for Wide Voltage Gain Range Applications

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    Design and Model-Based Evaluation of Active Clamping for Solid-State Circuit Breakers in Vehicular Power Supply Systems

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    Liquid Time-Constant Networks With Transfer Learning for Adaptive Data-Driven Impedance Identification of Hybrid Power Generation Systems

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