Verification of solar irradiance probabilistic forecasts [PDF]
Abstract We propose a framework for evaluating the quality of solar irradiance probabilistic forecasts. The verification framework is based on visual diagnostic tools and a set of scoring rules mostly originating from the weather forecast verification community. Two types of probabilistic forecasts are used as a basis to illustrate the application of
Pierre Pinson +2 more
exaly +3 more sources
Solar irradiance prediction is significant for maximizing energy-saving effects in the predictive control of buildings. Several models for solar irradiance prediction have been developed; however, they require the collection of weather data over a long ...
Byung-ki Jeon, Eui-Jong Kim
doaj +3 more sources
Short-term and long-term solar irradiance forecasting with advanced machine learning techniques in Zafarana, Egypt [PDF]
The increasing demand for renewable energy sources has positioned solar energy as a pivotal component in the global transition towards sustainable power generation.
Ali Taha, Peter Makeen, Nathalie Nazih
doaj +2 more sources
Machine-learning-based probabilistic forecasting of solar irradiance in Chile [PDF]
By the end of 2023, renewable sources covered 63.4 % of the total electric-power demand of Chile, and, in line with the global trend, photovoltaic (PV) power showed the most dynamic increase.
S. Baran +8 more
doaj +4 more sources
Probabilistic forecasts of solar irradiance using stochastic differential equations [PDF]
Probabilistic forecasts of renewable energy production provide users with valuable information about the uncertainty associated with the expected generation. Current state‐of‐the‐art forecasts for solar irradiance have focused on producing reliable point forecasts.
Juan M Morales
exaly +2 more sources
Short-Term Solar Irradiance Forecasts Using Sky Images and Radiative Transfer Model
In this paper, we propose a novel forecast method which addresses the difficulty in short-term solar irradiance forecasting that arises due to rapidly evolving environmental factors over short time periods.
Juan Du +5 more
doaj +3 more sources
The Impact of Stochastic Perturbations in Physics Variables for Predicting Surface Solar Irradiance
We present a probabilistic framework tailored for solar energy applications referred to as the Weather Research and Forecasting-Solar ensemble prediction system (WRF-Solar EPS).
Ju-Hye Kim +5 more
doaj +1 more source
A Bayesian Approach to Probabilistic Solar Irradiance Forecasting
The output of solar power generation is significantly dependent on the available solar radiation. Thus, with the proliferation of PV generation in the modern power grid, forecasting of solar irradiance is vital for proper operation of the grid. To achieve an improved accuracy in prediction performance, this paper discusses a Bayesian treatment of ...
Kwasi Opoku +3 more
openaire +2 more sources
A simplified seasonal forecasting strategy, applied to wind and solar power in Europe
We demonstrate levels of skill for forecasts of seasonal-mean wind speed and solar irradiance in Europe, using seasonal forecast systems available from the Copernicus Climate Change Service (C3S).
Philip E. Bett +7 more
doaj +1 more source
Solar Irradiance Ramp Forecasting Based on All-Sky Imagers
Solar forecasting constitutes a critical tool for operating, producing and storing generated power from solar farms. In the framework of the International Energy Agency’s Photovoltaic Power Systems Program Task 16, the solar irradiance nowcast algorithms,
Stavros-Andreas Logothetis +17 more
doaj +1 more source

