[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning

Q Paletta, G Terrén-Serrano, Y Nie, B Li… - Advances in Applied …, 2023 - Elsevier
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

[HTML][HTML] Increasing the resolution of solar and wind time series for energy system modeling: A review

O Omoyele, M Hoffmann, M Koivisto… - … and Sustainable Energy …, 2024 - Elsevier
Bottom-up energy system models are often based on hourly time steps due to limited
computational tractability or data availability. However, in order to properly assess the …

A taxonomical review on recent artificial intelligence applications to PV integration into power grids

C Feng, Y Liu, J Zhang - International Journal of Electrical Power & Energy …, 2021 - Elsevier
The exponential growth of solar power has been witnessed in the past decade and is
projected by the ambitious policy targets. Nevertheless, the proliferation of solar energy …

A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers

CA Gueymard, JM Bright, D Lingfors, A Habte… - … and Sustainable Energy …, 2019 - Elsevier
This study examines all known methods that have been proposed in the literature to identify
clear-sky periods in historical solar irradiance time series. Two different types of clear-sky …

Bright-Sun: A globally applicable 1-min irradiance clear-sky detection model

JM Bright, X Sun, CA Gueymard, B Acord… - … and Sustainable Energy …, 2020 - Elsevier
Clear-sky detection (CSD) is a crucial process in numerous solar energy applications. Many
CSD models have been proposed over the years, though model performance is generally …

From video games to solar energy: 3D shading simulation for PV using GPU

J Robledo, J Leloux, E Lorenzo, CA Gueymard - Solar Energy, 2019 - Elsevier
Photovoltaic (PV) systems can be affected by complex shading. Software solutions have
been developed over time, offering an ever-increasing set of simulation possibilities to …

Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution synthetic solar irradiance data

A Frimane, T Soubdhan, JM Bright, M Aggour - Solar Energy, 2019 - Elsevier
High resolution synthetic irradiance is of interest for theoretical studies such as grid
integration of solar PV and battery storage analysis. Access to site-specific data is often …

[HTML][HTML] Evaluation of multiple surface irradiance-based clear sky detection methods at Xianghe—A heavy polluted site on the North China Plain: 香河站太阳辐射识别 …

M Liu, J Zhang, X Xia - Atmospheric and Oceanic Science Letters, 2021 - Elsevier
Surface irradiance measurements with high temporal resolution can be used to detect clear
skies, which is a critical step for further study, such as aerosol and cloud radiative effects …

A physical downscaling algorithm for the generation of high-resolution spatiotemporal solar irradiance data

G Buster, M Rossol, G Maclaurin, Y Xie, M Sengupta - Solar Energy, 2021 - Elsevier
Abstract The National Solar Radiation Database (NSRDB) provides more than 20 years of
solar resource information covering North and South America at a 30-min, 4-km by 4-km …

Downscaling of hourly climate data for the assessment of building energy performance

I Balog, G Caputo, D Iatauro, P Signoretti, F Spinelli - Sustainability, 2023 - mdpi.com
In Italy, the calculation of the energy needs of buildings has been mainly based on quasi-
steady state calculation procedures. Nowadays, the increasing interest in more detailed …