AI-Driven Power Systems Thesis Support

I am preparing my MTech thesis in Electrical Engineering, specifically within the Power Systems domain, and I am taking an AI-based approach to the research for Solar panel MPPT controller. I already have the broad problem statement but now need structured, hands-on assistance to move from concept to a defendable thesis.

Your role will cover the critical stages: refining the research objectives, selecting or developing suitable AI models for power-system data, running the necessary simulations, and finally shaping the results into a clear, publication-ready document that meets university guidelines.

Preferred tools are Matlab/Simulink or Python with libraries such as TensorFlow, PyTorch and Pandas, though I am open to alternatives if they better suit the chosen model or dataset.

Deliverables
• A detailed methodology outlining the AI techniques applied to the power-system problem
• Simulation code and test data with clear commenting so I can reproduce the results on my end
• Interim result summaries for each major milestone so feedback can be incorporated early
• A polished thesis document, formatted to my department’s template, complete with figures, tables, references and plagiarism check report

Acceptance criteria
• All simulations must run without errors on a standard academic licence or open-source stack
• Result discussion must link clearly back to established Power Systems theory and recent AI literature
• Final document must be ready for supervisor submission, with citation style fully compliant

If you have proven experience applying AI to electrical-power applications and can commit to milestone-based collaboration, let’s get started.