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Enhancing power grid stability with a hybrid framework for wind power forecasting: Integrating Kalman Filtering, Deep Residual Learning, and Bidirectional LSTM

Mehrnaz Ahmadi, Hamed H. Aly, Mehdi Khashei

2025Energy25 citationsDOI

Topics & Concepts

ResidualKalman filterStability (learning theory)Deep learningArtificial intelligenceWind powerComputer sciencePower (physics)Power gridGridWind power forecastingMachine learningElectric power systemEngineeringAlgorithmElectrical engineeringMathematicsQuantum mechanicsGeometryPhysicsEnergy Load and Power ForecastingElectric Power System OptimizationMeteorological Phenomena and Simulations
Enhancing power grid stability with a hybrid framework for wind power forecasting: Integrating Kalman Filtering, Deep Residual Learning, and Bidirectional LSTM | Litcius