Post-processing in solar forecasting: Ten overarching thinking tools
D Yang, D van der Meer - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Forecasts are always wrong, otherwise, they are merely deterministic calculations. Besides
leveraging advanced forecasting methods, post-processing has become a standard practice …
leveraging advanced forecasting methods, post-processing has become a standard practice …
Flexible Ramp Products: A solution to enhance power system flexibility
Large scale integration of variable and uncertain Renewable Generation (RG) in power
systems causes frequent load-generation imbalances. Systems require additional …
systems causes frequent load-generation imbalances. Systems require additional …
Real-time economic dispatch considering renewable power generation variability and uncertainty over scheduling period
SS Reddy, PR Bijwe, AR Abhyankar - IEEE Systems journal, 2014 - ieeexplore.ieee.org
Real-time economic dispatch (RTED) is performed every 5-15 min with the static snapshot
forecast data. During the period between two consecutive schedules, generators participate …
forecast data. During the period between two consecutive schedules, generators participate …
A survey of computational intelligence techniques for wind power uncertainty quantification in smart grids
The high penetration level of renewable energy is thought to be one of the basic
characteristics of future smart grids. Wind power, as one of the most increasing renewable …
characteristics of future smart grids. Wind power, as one of the most increasing renewable …
A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources
The penetration of intermittent renewable energy sources (IRESs) into power grids has
increased in the last decade. Integration of wind farms and solar systems as the major IRESs …
increased in the last decade. Integration of wind farms and solar systems as the major IRESs …
Net load forecasting for high renewable energy penetration grids
A Kaur, L Nonnenmacher, CFM Coimbra - Energy, 2016 - Elsevier
We discuss methods for net load forecasting and their significance for operation and
management of power grids with high renewable energy penetration. Net load forecasting is …
management of power grids with high renewable energy penetration. Net load forecasting is …
[HTML][HTML] The Wind Forecast Improvement Project (WFIP): A public–private partnership addressing wind energy forecast needs
J Wilczak, C Finley, J Freedman, J Cline… - Bulletin of the …, 2015 - journals.ametsoc.org
Benjamin, SG, BD Jamison, WR Moninger, SR Sahm, B. Schwartz, and TW Schlatter, 2010:
Relative short-range forecast impact from aircraft, profiler, radiosonde, VAD, GPS-PW …
Relative short-range forecast impact from aircraft, profiler, radiosonde, VAD, GPS-PW …
Stochastic optimization of sub-hourly economic dispatch with wind energy
H Gangammanavar, S Sen… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
We present a stochastic programming framework for a multiple timescale economic dispatch
problem to address integration of renewable energy resources into power systems. This …
problem to address integration of renewable energy resources into power systems. This …
Real time economic dispatch considering renewable energy resources
SS Reddy, PR Bijwe - Renewable Energy, 2015 - Elsevier
In practice, the real time economic dispatch is performed in every 5–15 min intervals with the
static snapshot forecast data. During the period between two consecutive schedules …
static snapshot forecast data. During the period between two consecutive schedules …
A universal benchmarking method for probabilistic solar irradiance forecasting
D Yang - Solar Energy, 2019 - Elsevier
Probabilistic solar irradiance forecasting is often benchmarked using the clear-sky
persistence ensemble (PeEn). By comparing the continuous ranked probability score …
persistence ensemble (PeEn). By comparing the continuous ranked probability score …