Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting
Solar and wind energy are inherently time-varying sources of energy on scales from minutes
to seasons. Thus, the incorporation of such intermittent and stochastic renewable energy …
to seasons. Thus, the incorporation of such intermittent and stochastic renewable energy …
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …
to forecast the three components of solar irradiation (global horizontal, beam normal and …
Some applications of ANN to solar radiation estimation and forecasting for energy applications
In solar energy, the knowledge of solar radiation is very important for the integration of
energy systems in building or electrical networks. Global horizontal irradiation (GHI) data are …
energy systems in building or electrical networks. Global horizontal irradiation (GHI) data are …
Forecasting of intermittent solar energy resource
The intermittent and stochastic character of solar radiation makes the energy manager work
difficult especially to maintain the production/consumption balance within an electrical grid …
difficult especially to maintain the production/consumption balance within an electrical grid …
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 …
Forecasting ground-level irradiance over short horizons: Time series, meteorological, and time-varying parameter models
One of the key enabling technologies for integrating solar energy into the grid is short-range
forecasting. Two issues have emerged in the literature. The first has to do with the relative …
forecasting. Two issues have emerged in the literature. The first has to do with the relative …
[PDF][PDF] The SunCast solar-power forecasting system: the results of the public-private-academic partnership to advance solar power forecasting
In 2013, the National Center for Atmospheric Research (NCAR) was awarded a
collaborative agreement with the Department of Energy (DOE) SunShot Initiative to advance …
collaborative agreement with the Department of Energy (DOE) SunShot Initiative to advance …
[HTML][HTML] Regime-dependent short-range solar irradiance forecasting
TC McCandless, GS Young, SE Haupt… - Journal of Applied …, 2016 - journals.ametsoc.org
This paper describes the development and testing of a cloud-regime-dependent short-range
solar irradiance forecasting system for predictions of 15-min-average clearness index …
solar irradiance forecasting system for predictions of 15-min-average clearness index …
Cluster analysis for classification and forecasting of solar irradiance in Durban, South Africa
P Govender, MJ Brooks, AP Matthews - Journal of Energy in Southern …, 2018 - scielo.org.za
Clustering of solar irradiance patterns was used in conjunction with cloud cover forecasts
from Numerical Weather Predictions for day-ahead forecasting of irradiance. Beam …
from Numerical Weather Predictions for day-ahead forecasting of irradiance. Beam …
Solar power forecasting using mixture of probabilistic principal component analyzers
C Yuan, A Chakraborty, H Hackstein - US Patent 10,386,544, 2019 - Google Patents
A method for solar forecasting includes receiving a plurality of solar energy data as a
function of time of day at a first time, forecasting from the solar energy data a mode, where …
function of time of day at a first time, forecasting from the solar energy data a mode, where …