IEEE

Short-Term Load Forecasting: A Comprehensive Review and Simulation Study With CNN-LSTM Hybrids Approach

Abstract: Short-term load forecasting (STLF) is vital in effectively managing the reserve requirement in modern power grids. Subsequently, it supports the grid operator in making effective and ...
IEEE

Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM

Abstract: Particulate matter forecasting is fundamental for early warning and controlling air pollution, especially PM2.5. The increase in this level of concentration will lead to a negative impact on ...
GitHub

Motor Sentinel — Deep Learning Fault Detection

Induction motor fault detection pipeline: Simulink modeling, dataset generation (3000 samples), spectrogram analysis, feature engineering, and comparison of MLP / CNN / LSTM classifiers with Simulink ...