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Probabilistic Analysis of Masked Loads with Aggregated Photovoltaic Production

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In this paper we present a probabilistic analysis framework to estimate behind-the-meter photovoltaic generation in real time. We develop a forward model consisting of a spatiotemporal stochastic process that represents the photovoltaic generation and a stochastic differential equation with jumps that represents the demand. We employ this model to disaggregate the behind-the-meter photovoltaic generation using net load and irradiance measurements.

Author(s):

Shaohui Liu    
Stony Brook University
United States

Daniel Maldonado    
Argonne National Laboratory
United States

Emil Constantinescu    
Argonne National Laboratory
United States

 

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