Engineering simulation, model implementation and research support for PhD scholars worldwide
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AI & Machine Learning Research Support

Research-oriented AI & Machine Learning project pages for engineering PhD scholars, including model scope, methodology, expected simulation outputs, result interpretation and customization direction.

Representative AI & Machine Learning Projects

Explore sample research topics in this domain, including model scope, methodology, simulation outputs and customization direction for engineering scholars.

ML-Based Microgrid ProtectionML-Based Microgrid ProtectionDIgSILENT PowerFactory 2024New Project • PhD Thesis • AU / UK / CA / UAE
New Project

Enhanced Decentralized Machine Learning-Based Protection Scheme for AC Microgrids Using DIgSILENT PowerFactory 2024

Decentralized machine-learning protection for AC microgrids using DIgSILENT PowerFactory 2024 fault simulation data. Includes methodology, expected graphs, result interpretation and thesis support for AU, UK, Canada and UAE scholars.

DIgSILENT PowerFactory 2024ML-Based Microgrid Protec
Fault-Tolerant Inverter ControlFault-Tolerant Inverter ControlMATLAB SimulinkNew Project • PhD Thesis • AU / UK / CA / UAE
New Project

AI-Based Fault-Tolerant Single-Phase H-Bridge PWM Inverter Using MATLAB Simulink Simscape Electrical

AI-based fault-tolerant control for a single-phase H-bridge PWM inverter using MATLAB Simulink Simscape Electrical. Includes methodology, expected graphs, result interpretation and thesis support for AU, UK, Canada and UAE scholars.

MATLAB SimulinkFault-Tolerant Inverter C
AI-Based Fault LocationAI-Based Fault LocationDIgSILENT PowerFactoryNew Project • PhD Thesis • AU / UK / CA / UAE
New Project

AI-Based Adaptive Fault Detection, Classification and Location in an Inverter-Dominated IEEE-33 Bus AC Microgrid Using DIgSILENT PowerFactory and Machine Learning

AI-based adaptive fault detection, classification and location for an inverter-dominated IEEE-33 bus AC microgrid using PowerFactory and machine learning. Includes methodology, expected graphs, result interpretation and thesis support for AU, UK, Canada and UAE scholars.

DIgSILENT PowerFactoryAI-Based Fault Location
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

Multi-Objective KOARIME Algorithm Performance on Benchmark Problems Using (M-1)-GPD Selection Strategy

Multi-Objective KOARIME Algorithm Performance on Benchmark Problems Using (M-1)-GPD Selection Strategy is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

Optimization of Ant Colonies Solving the Traveling Salesman Problem (TSP) with a meta-heuristic

Optimization of Ant Colonies Solving the Traveling Salesman Problem (TSP) with a meta-heuristic is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

Simulator for Economic Load Dispatching Using Partially Swarmed Optimization

Simulator for Economic Load Dispatching Using Partially Swarmed Optimization is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

Using metaheuristic optimization techniques to address the issue of traveling salesmen

Using metaheuristic optimization techniques to address the issue of traveling salesmen is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
AI / ML ResearchAI / ML ResearchMATLAB SimulinkObjective • Methodology • Outputs

A multi-layer feed forward network trained using the error back propagation algorithm is used for SOFC analysis.

A multi-layer feed forward network trained using the error back propagation algorithm is used for SOFC analysis. is a AI / ML Research research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

Application to Probabilistic Energy Flow and Convex Optimization of the Integrated Power-Gas Energy Flow Model – Electrical Simulation Assignments

Application to Probabilistic Energy Flow and Convex Optimization of the Integrated Power-Gas Energy Flow Model – Electrical Simulation Assignments is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

Application to Probabilistic Energy Flow and Convex Optimization of the Integrated Power-Gas Energy Flow Model – PhD Research Simulation

Application to Probabilistic Energy Flow and Convex Optimization of the Integrated Power-Gas Energy Flow Model – PhD Research Simulation is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
Bio-Inspired OptimizationBio-Inspired OptimizationMATLAB SimulinkObjective • Methodology • Outputs

fb-6-metaheuristic optimization algorithms in order to solve the traveling salesman problem-matlab-optimization

fb-6-metaheuristic optimization algorithms in order to solve the traveling salesman problem-matlab-optimization is a Bio-Inspired Optimization research project under AI & Machine Learning, using MATLAB Simulink with model setup, methodology, validation graphs and thesis support for AU, UK, Canada and UAE scholars.

MATLAB Simulink
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