A Cyber-Secure generalized supermodel for wind power forecasting based on deep federated learning and image processing
H Moayyed, A Moradzadeh… - Energy Conversion and …, 2022 - Elsevier
Accurate wind power forecasting is one of the most important operations within the
economic dispatch problem to increase the performance of power and energy systems …
economic dispatch problem to increase the performance of power and energy systems …
Fault Detection, Classification, and Location Based on Empirical Wavelet Transform-Teager Energy Operator and ANN for Hybrid Transmission Lines in VSC-HVDC …
Traditional protection methods are not suitable for hybrid (cable and overhead) transmission
lines in voltage source converter based high-voltage direct current (VSC-HVDC) systems …
lines in voltage source converter based high-voltage direct current (VSC-HVDC) systems …
Federated Deep Learning Technique for Power and Energy Systems Data Analysis
H Moayyed, A Moradzadeh… - … Data Mining and …, 2022 - Wiley Online Library
In recent years, there has been a tremendous increase in the application of information and
communication technologies (ICTs) in critical infrastructures, such as energy grids and …
communication technologies (ICTs) in critical infrastructures, such as energy grids and …
[PDF][PDF] Machine Learning: Rain and Visible Moisture Prediction for Airport Safety
Accurate weather forecasting is of paramount importance in aviation operations, as weather
conditions significantly impact flight safety. Various weather phenomena can pose risks to …
conditions significantly impact flight safety. Various weather phenomena can pose risks to …