most citedElectric Load and Power Forecasting Using Ensemble Gaussian Process Regression

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stat.ML2020

Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids

Tong Ma, David Alonso Barajas-Solano, Ramakrishna Tipireddy +1

Real-time state estimation and forecasting is critical for efficient operation of power grids. In this paper, a physics-informed Gaussian process regression (PhI-GPR) method is pre…