| Abstract | This M.Tech Electrical Engineering topic focuses on Short-term load forecasting for power systems with high-penetration renewables based on multivariate data slicing transformer neural network. 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. |
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| Reference Paper | Short-term load forecasting for power systems with high-penetration renewables based on multivariate data slicing transformer neural network |
| Year | 2024 |
| Domain | Power Systems |
| Sub-Domain | Load Forecasting |
| PDF Download | Download / View PDF |
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Message: Hi FE, I need help with "Short-term load forecasting for power systems with high-penetration renewables based on multivariate data slicing transformer neural network" in "Power Systems" |
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