A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …
forecasting, which constitutes an essential step in planning and operating power systems …
[HTML][HTML] Probabilistic photovoltaic power forecasting using a calibrated ensemble of model chains
Physical model chain is a step-by-step modeling framework for the conversion of irradiance
to photovoltaic (PV) power. When a model chain is fed with irradiance forecasts, it provides …
to photovoltaic (PV) power. When a model chain is fed with irradiance forecasts, it provides …
Irradiance-to-power conversion based on physical model chain: An application on the optimal configuration of multi-energy microgrid in cold climate
This article is primarily concerned with the optimal configuration of multi-energy microgrid in
cold climate. Although involving photovoltaic (PV) has been commonplace in works of this …
cold climate. Although involving photovoltaic (PV) has been commonplace in works of this …
Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting
L Yin, X Cao, D Liu - Applied Energy, 2023 - Elsevier
Accurate photovoltaic power forecasting can provide a basis for low-carbon economic
dispatch of power systems with a high proportion of renewable energy. Regression networks …
dispatch of power systems with a high proportion of renewable energy. Regression networks …
[HTML][HTML] Forecasting solar photovoltaic power production: A comprehensive review and innovative data-driven modeling framework
The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates
accurate power production prediction for effective scheduling and grid management. This …
accurate power production prediction for effective scheduling and grid management. This …
Systematic review on impact of different irradiance forecasting techniques for solar energy prediction
As non-renewable energy sources are in the verge of exhaustion, the entire world turns
towards renewable sources to fill its energy demand. In the near future, solar energy will be …
towards renewable sources to fill its energy demand. In the near future, solar energy will be …
Quantile regression based probabilistic forecasting of renewable energy generation and building electrical load: A state of the art review
With the increasing penetration of renewable energy in smart grids and the increasing
building electrical load, their accurate forecasting is essential for system design, control and …
building electrical load, their accurate forecasting is essential for system design, control and …
Combining quantiles of calibrated solar forecasts from ensemble numerical weather prediction
This work is concerned with optimally combining quantiles of several post-processed
versions of ensemble solar forecasts, which is new in this field. Numerical weather …
versions of ensemble solar forecasts, which is new in this field. Numerical weather …
Forecasting Univariate Solar Irradiance using Machine learning models: A case study of two Andean Cities
D Díaz-Bedoya, M González-Rodríguez… - Energy Conversion and …, 2023 - Elsevier
The integration of solar energy into power systems is essential for the future sustainability of
power systems, particularly for isolated systems, such as microgrids, where establishing a …
power systems, particularly for isolated systems, such as microgrids, where establishing a …
Towards the applicability of solar nowcasting: A practice on predictive PV power ramp-rate control
Solar forecasting has been widely adopted in modern power system operations to facilitate a
reliable and continuous photovoltaic (PV) integration. Solar nowcasting, also known as intra …
reliable and continuous photovoltaic (PV) integration. Solar nowcasting, also known as intra …