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Short-Term Power Load Forecasting Using an Improved Multi-Scale GCN and Transformer Model

This M.Tech Electrical Engineering topic focuses on Short-Term Power Load Forecasting Using an Improved Multi-Scale GCN and Transformer Model. It belongs to the Load Forecasting area within Power Systems. The work is…

Load Forecasting

Abstract	This M.Tech Electrical Engineering topic focuses on Short-Term Power Load Forecasting Using an Improved Multi-Scale GCN and Transformer Model. It belongs to the Load Forecasting area within Power Systems. The work is suitable for research topic selection, synopsis preparation, literature review, simulation planning, implementation design, result analysis, and dissertation documentation. Students can use this 2023-onward open-access research reference as the base paper and then customize the implementation using suitable datasets, MATLAB/Simulink, Python, power-system simulation tools, optimization methods, machine learning models, and performance metrics according to academic requirements.
Reference Paper	Short-Term Power Load Forecasting Using an Improved Multi-Scale GCN and Transformer Model
Year	2025
Domain	Power Systems
Sub-Domain	Load Forecasting
PDF Download	Download / View PDF
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