Physics-informed Gaussian process regression for states estimation and forecasting in power grids
Alexandre M. Tartakovsky, Tong Ma, David A. Barajas‐Solano, Ramakrishna Tipireddy
Topics & Concepts
KrigingKalman filterEnsemble Kalman filterComputer scienceGridGaussianGaussian processStochastic differential equationMonte Carlo methodData assimilationGround-penetrating radarMathematical optimizationApplied mathematicsAlgorithmMathematicsStatisticsMeteorologyExtended Kalman filterArtificial intelligenceMachine learningPhysicsRadarTelecommunicationsQuantum mechanicsGeometryEnergy Load and Power ForecastingReservoir Engineering and Simulation MethodsMeteorological Phenomena and Simulations