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Publications (7)
- Mining latent patterns with multi-scale decomposition for electricity demand and price forecasting using modified deep graph convolutional neural networks Save
- Towards efficient model recommendation: An innovative hybrid graph neural network approach integrating multisignature analysis of electrical time series Save
- Hybrid LSTM-Graph Convolutional Neural Network with Wavelet Transform and Correlation Analysis for Electrical Demand Forecasting Save
- A Comparative Analysis of Supervised Machine Learning Algorithms for Electricity Demand Forecasting Save
- Day-Ahead Market Electricity Price Prediction using Time Series Forecasting Save
- Statistical and Spectral Signature of Historical Electrical Demand Data Save
- Feature Selection for Electrical Demand Forecasting and Analysis of Pearson Coefficient Save