Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method
A precise wind power forecast is required for the renewable energy platform to function
effectively. By having a precise wind power forecast, the power system can better manage its …
effectively. By having a precise wind power forecast, the power system can better manage its …
Grid Chaos: An uncertainty-conscious robust dynamic EV load-altering attack strategy on power grid stability
Abstract Electric Vehicles (EVs) and their charging infrastructure have witnessed rapid
adoption into the smart grid owing to their ability to reduce the transportation sector's …
adoption into the smart grid owing to their ability to reduce the transportation sector's …
Factors Impacting Short-Term Load Forecasting of Charging Station to Electric Vehicle
The rapid growth of electric vehicles (EVs) is likely to endanger the current power system.
Forecasting the demand for charging stations is one of the critical issues while mitigating …
Forecasting the demand for charging stations is one of the critical issues while mitigating …
ConvLSTM-based real-time power flow estimation of smart grid with high penetration of uncertain PV considering measurement noise
F Senesoulin, K Hongesombut, I Ngamroo… - Computers and …, 2024 - Elsevier
A modern smart grid tends to have increasingly various uncertain renewable generations.
Due to different geographical areas and network topology constraints, operations of a smart …
Due to different geographical areas and network topology constraints, operations of a smart …