Electrical & Electronics Engineering Project Guidance
Electrical & Electronics Engineering Project Guidance
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Project EE01: Short-Term Electric Load Forecasting with LSTM and Gradient Boosting
Project EE02: Solar PV Power Forecasting Using pvlib and Machine Learning
Project EE03: Wind Turbine Power-Curve Modelling and SCADA Anomaly Detection
Project EE04: Li-Ion Battery SOC Estimation: LSTM vs Extended Kalman Filter
Project EE05: Battery SOH and Remaining Useful Life Prediction from NASA Data
Project EE06: Induction Motor Bearing Fault Diagnosis Using Envelope Analysis & CNN
Project EE07: Inverter Open-Switch Fault Diagnosis Using Machine Learning
Project EE08: Transmission Line Fault Classification and Location Using ML
Project EE09: Power-Quality Disturbance Classification Using Deep Learning
Project EE10: Power Transformer Fault Diagnosis from DGA Using Machine Learning
Project EE11: Smart-Grid Stability Prediction (DSGC) Using Machine Learning
Project EE12: ML N-1 Contingency Security Assessment of the IEEE 39-Bus System
Project EE13: Electricity Theft Detection from Smart-Meter Data Using Deep CNN
Project EE14: Grid-Connected PV Fault Detection and Diagnosis Using Machine Learning
Project EE15: Non-Intrusive Load Monitoring Using Sequence-to-Point Deep Learning
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