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12/10/2022
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data
Recent advancements in sensing and communication facilitate obtaining hi...
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10/08/2020
Dynamic mode decomposition for forecasting and analysis of power grid load data
Time series forecasting remains a central challenge problem in almost al...
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10/29/2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Uncertainty quantification for forward and inverse problems is a central...
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10/09/2019
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression
We propose a new forecasting method for predicting load demand and gener...
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11/24/2018