A review of behind-the-meter solar forecasting
Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …
[HTML][HTML] Extensive comparison of physical models for photovoltaic power forecasting
Forecasting the power production of grid-connected photovoltaic (PV) power plants is
essential for both the profitability and the prospects of the technology. Physically inspired …
essential for both the profitability and the prospects of the technology. Physically inspired …
A hybrid deep learning model for short-term PV power forecasting
P Li, K Zhou, X Lu, S Yang - Applied Energy, 2020 - Elsevier
The integration of PV power brings great economic and environmental benefits. However,
the high penetration of PV power may challenge the planning and operation of the existing …
the high penetration of PV power may challenge the planning and operation of the existing …
Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest
A forecasting method for hourly-averaged, day-ahead power output (PO) from photovoltaic
(PV) power plants based on least-squares optimization of Numerical Weather Prediction …
(PV) power plants based on least-squares optimization of Numerical Weather Prediction …
[HTML][HTML] Ensemble of machine learning and spatiotemporal parameters to forecast very short-term solar irradiation to compute photovoltaic generators' output power
F Rodríguez, F Martín, L Fontán, A Galarza - Energy, 2021 - Elsevier
Photovoltaic generation has arisen as a solution for the present energy challenge. However,
power obtained through solar technologies has a strong correlation with certain …
power obtained through solar technologies has a strong correlation with certain …
3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D
While photovoltaic (PV) systems are being installed at an unprecedented rate, it is
challenging to keep track of them due to their decentralized character and large number. In …
challenging to keep track of them due to their decentralized character and large number. In …
Creating a proof-of-concept climate service to assess future renewable energy mixes in Europe: An overview of the C3S ECEM project
The EU Copernicus Climate Change Service (C3S) European Climatic Energy Mixes
(ECEM) has produced, in close collaboration with prospective users, a proof-of-concept …
(ECEM) has produced, in close collaboration with prospective users, a proof-of-concept …
[HTML][HTML] Influence of design data availability on the accuracy of physical photovoltaic power forecasts
MJ Mayer - Solar Energy, 2021 - Elsevier
Accurate photovoltaic (PV) power forecasts are essential for the grid integration of the
technology. Most solar forecasting studies deal only with solar irradiance forecasting, which …
technology. Most solar forecasting studies deal only with solar irradiance forecasting, which …
A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation
There is an ever-growing number of photovoltaic (PV) installations in the US and worldwide.
Many utilities do not have complete or up-to-date information of the PVs present within their …
Many utilities do not have complete or up-to-date information of the PVs present within their …
[HTML][HTML] Data-driven inference of unknown tilt and azimuth of distributed PV systems
B Meng, RCGM Loonen, JLM Hensen - Solar Energy, 2020 - Elsevier
Abstract Information about the orientation (ie tilt and azimuth angles) of PV modules is a
fundamental input for PV performance studies. However, this type of metadata is difficult to …
fundamental input for PV performance studies. However, this type of metadata is difficult to …