Data Analytics for Short Term Price and Load Forecasting in Smart Grids using Enhanced Recurrent Neural Network

Author:

Usman Muhammad,Ali Khan Zahoor,Khan Inam Ullah,Javaid Sakeena,Javaid Nadeem

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stacked LSTM based Enhanced Data-driven Framework for Forecasting Day-ahead Electricity Prices;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01

2. Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances;Energies;2023-10-06

3. Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting;Neurocomputing;2023-08

4. Hybrid Deep Learning Enabled Load Prediction for Energy Storage Systems;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

5. Comparative Performance Study of Different Filtering Techniques with LSTM for the Prediction of Power Consumption in Smart Grid;IETE Journal of Research;2023-04-26

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