Spatio-temporal graph neural networks for multi-site PV power forecasting
Accurate forecasting of solar power generation with fine temporal and spatial resolution is
vital for the operation of the power grid. However, state-of-the-art approaches that combine …
vital for the operation of the power grid. However, state-of-the-art approaches that combine …
Applications for solar irradiance nowcasting in the control of microgrids: A review
The integration of solar photovoltaic (PV) into electricity networks introduces technical
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …
challenges due to varying PV output. Rapid ramp events due to cloud movements are of …
Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
A main challenge towards ensuring large-scale and seamless integration of photovoltaic
systems is to improve the accuracy of energy yield forecasts, especially in grid areas of high …
systems is to improve the accuracy of energy yield forecasts, especially in grid areas of high …
Irradiance variability quantification and small-scale averaging in space and time: A short review
GM Lohmann - Atmosphere, 2018 - mdpi.com
The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to
weather-induced PV power output variability. Understanding the underlying spatiotemporal …
weather-induced PV power output variability. Understanding the underlying spatiotemporal …
Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting
With the ever-increased penetration of solar energy in the power grid, solar photovoltaic
forecasting has become an indispensable aspect in maintaining power system stability and …
forecasting has become an indispensable aspect in maintaining power system stability and …
Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery
One of the most important modern challenges in making the renewable energy sources
more reliable is the development of new tools to better manage their non programmable …
more reliable is the development of new tools to better manage their non programmable …
Assessment of new solar radiation nowcasting methods based on sky-camera and satellite imagery
FJ Rodríguez-Benítez, M López-Cuesta… - Applied Energy, 2021 - Elsevier
This work proposes and evaluates methods for extending the forecasting horizon of all-sky
imager (ASI)-based solar radiation nowcasts and estimating the uncertainty of these …
imager (ASI)-based solar radiation nowcasts and estimating the uncertainty of these …
Forecasting solar irradiance at short horizons: Frequency and time domain models
A key issue in integrating solar power into the grid is short-term forecasting. Up to now, most
solar forecasting has been run in the time domain. But since the data are dominated by the …
solar forecasting has been run in the time domain. But since the data are dominated by the …
An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system
One of the primary technical challenges of integrating high levels of PV generation into
standalone off-grid power supply systems is their variable power output characteristics. In …
standalone off-grid power supply systems is their variable power output characteristics. In …
Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques
Accurate solar radiation nowcasting models are critical for the integration of the increasing
solar energy in power systems. This work explored the benefits obtained by the blending of …
solar energy in power systems. This work explored the benefits obtained by the blending of …