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.
@article{arxiv.2004.10334,
title = {Probabilistic analysis of masked loads with aggregated photovoltaic production},
author = {Shaohui Liu and Daniel Adrian Maldonado and Emil M. Constantinescu},
journal= {arXiv preprint arXiv:2004.10334},
year = {2020}
}