Comparison Between the Machine Learning and the Statistical Approach to the Forecasting of Voltage, Current, and Frequency
Author:
Affiliation:
1. Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna,Department of Electrical,Bologna,Italy,40136
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296973/10297127/10297192.pdf?arnumber=10297192
Reference23 articles.
1. LSTM-Based Dynamic Frequency Prediction
2. Cellular computational extreme learning machine network based frequency predictions in a power system;iroshani;2017 International Joint Conference on Neural Networks (IJCNN),0
3. A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power
4. Frequency regulation in adaptive virtual inertia and power reserve control with high PV penetration by probabilistic forecasting
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