Sundance: Black-box behind-the-meter solar disaggregation

D Chen, D Irwin - Proceedings of the eighth international conference on …, 2017 - dl.acm.org
The increasing penetration of grid-tied solar is complicating utilities' ability to balance
electricity's real-time supply and demand. While advancements in solar forecast modeling …

Staring at the sun: a physical black-box solar performance model

D Chen, J Breda, D Irwin - Proceedings of the 5th Conference on …, 2018 - dl.acm.org
Develo** accurate solar performance models, which estimate solar output based on a
deployment's unique physical characteristics and weather, is increasingly important as the …

Black-box solar performance modeling: Comparing physical, machine learning, and hybrid approaches

D Chen, D Irwin - ACM SIGMETRICS Performance Evaluation Review, 2017 - dl.acm.org
The increasing penetration of solar power in the grid has motivated a strong interest in
develo** real-time performance models that estimate solar output based on a …

Bayesian structural time series for behind-the-meter photovoltaic disaggregation

P Shaffery, R Yang, Y Zhang - 2020 IEEE Power & Energy …, 2020 - ieeexplore.ieee.org
Distributed photovoltaic (PV) generation often occurs “behind the meter”: a grid operator can
only observe the net load, which is the sum of the gross load and distributed PV generation …

Hybrid Black-box Solar Analytics and their Privacy Implications

D Chen - 2018 - scholarworks.umass.edu
The aggregate solar capacity in the US is rising rapidly due to continuing decreases in the
cost of solar modules. For example, the installed cost per Watt (W) for residential …

Understanding the Variance Reduction Effect and Bayesian Structural Time Series for Behind-The-Meter Disaggregation

P Shaffery - 2020 - search.proquest.com
This thesis is comprised of two distinct projects. The first (which is described in Chapter 1)
derives a novel random matrix model to explain the``variance reduction effect", a …