The future of forecasting for renewable energy

C Sweeney, RJ Bessa, J Browell… - … Reviews: Energy and …, 2020 - Wiley Online Library
Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …

Precision micro-synchrophasors for distribution systems: A summary of applications

A Von Meier, E Stewart, A McEachern… - … on Smart Grid, 2017 - ieeexplore.ieee.org
This paper describes high-level findings from an innovative network of high-precision
phasor measurement units (PMUs), or micro-PMUs (μPMUs), designed to provide an …

Joint estimation of behind-the-meter solar generation in a community

F Kabir, N Yu, W Yao, R Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Distribution grid planning, control, and optimization require accurate estimation of solar
photovoltaic (PV) generation and electric load in the system. Most of the small residential …

Estimation of behind-the-meter solar generation by integrating physical with statistical models

F Kabir, N Yu, W Yao, R Yang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Accurate estimation of solar photovoltaic (PV) generation is crucial for distribution grid
control and optimization. Unfortunately, most of the residential solar PV installations are …

Disaggregating solar generation behind individual meters in real time

M Tabone, S Kiliccote, EC Kara - Proceedings of the 5th Conference on …, 2018 - dl.acm.org
Real-time photovoltaic (PV) generation information is crucial for distribution system
operations such as switching, state-estimation, and voltage management. However, most …

Behind-the-meter solar generation disaggregation using consumer mixture models

CM Cheung, W Zhong, C **ong… - … for Smart Grids …, 2018 - ieeexplore.ieee.org
To facilitate deep penetration of solar energy in smart grids, we need high observability of
solar generation at the edges of the grid. Current advanced metering infrastructures (AMI) …

Self-supervised learning method for consumer-level behind-the-meter PV estimation

CC Liu, H Chen, J Shi, L Chen - Applied Energy, 2022 - Elsevier
Driven by cost reduction and sustainable policies, the penetration of distributed photovoltaic
(PV) systems has deepened in recent years. Most of these PV systems are installed behind …

Solar disaggregation: State of the art and open challenges

X Chen, O Ardakanian - Proceedings of the 5th International Workshop …, 2020 - dl.acm.org
Disaggregating solar power from net meter data has got traction in recent years as utility
companies are seeking ways to identify behind-the-meter solar photovoltaics, improve their …

[HTML][HTML] Estimating PV power from aggregate power measurements within the distribution grid

E Vrettos, EC Kara, EM Stewart… - Journal of Renewable and …, 2019 - pubs.aip.org
The increased integration of photovoltaic (PV) systems in distribution grids reduces visibility
and situational awareness for utilities because the PV systems' power production is usually …

Association rule mining for localizing solar power in different distribution grid feeders

B Saleem, Y Weng, FM Gonzales - IEEE Transactions on Smart …, 2020 - ieeexplore.ieee.org
The increase in the photovoltaic generation on distribution grids may create problems, such
as voltage-violations. To gain situational awareness for system operation, eg, adjusting the …