most citedElectric Load and Power Forecasting Using Ensemble Gaussian Process Regression

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

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…

cs.LG2019★ 2 cited

Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression

Tong Ma, Renke Huang, David Barajas-Solano +2

We propose a new forecasting method for predicting load demand and generation scheduling. Accurate week-long forecasting of load demand and optimal power generation is critical for…