History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

D Yang, J Kleissl, CA Gueymard, HTC Pedro… - Solar Energy, 2018 - Elsevier
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …

Clear sky solar irradiance models: A review of seventy models

F Antonanzas-Torres, R Urraca, J Polo… - … and Sustainable Energy …, 2019 - Elsevier
Clear sky solar irradiance parametric models seek to simplify the atmospheric attenuation
with relatively simple parameterizations in order to estimate solar irradiance under clear sky …

[HTML][HTML] Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data

R Urraca, T Huld, A Gracia-Amillo… - Solar Energy, 2018 - Elsevier
This study examines the progress made by two new reanalyses in the estimation of surface
irradiance: ERA5, the new global reanalysis from the ECMWF, and COSMO-REA6, the …

Machine learning for site-adaptation and solar radiation forecasting

G Narvaez, LF Giraldo, M Bressan, A Pantoja - Renewable Energy, 2021 - Elsevier
Optimal management for solar energy systems requires quality data to build accurate
models for predicting the behavior of solar radiation. Solar irradiance and environmental …

Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based …

Z Song, S Cao, H Yang - Applied Energy, 2023 - Elsevier
In light of the rapidly expanding solar photovoltaic (PV) sector, it is important to provide a
deeper understanding of solar energy resources to successfully implement solar energy …

Comparative study on KNN and SVM based weather classification models for day ahead short term solar PV power forecasting

F Wang, Z Zhen, B Wang, Z Mi - Applied Sciences, 2017 - mdpi.com
Accurate solar photovoltaic (PV) power forecasting is an essential tool for mitigating the
negative effects caused by the uncertainty of PV output power in systems with high …

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 …

Application of functional deep belief network for estimating daily global solar radiation: A case study in China

H Zang, L Cheng, T Ding, KW Cheung, M Wang, Z Wei… - Energy, 2020 - Elsevier
Solar energy plays an essential role in environment governance and resource protection, as
it is totally pollution-free and extensively accessed. An accurate knowledge of solar radiation …

Surface measured solar radiation data and solar energy resource assessment of Pakistan: A review

ZR Tahir, M Asim - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Over the past decade, Pakistan has been facing a shortage of between 3000 MW and 6000
MW in the supply and demand of electricity, leading to several hours of power cut. Sixty …

Random forest regression for improved mapping of solar irradiance at high latitudes

B Babar, LT Luppino, T Boström, SN Anfinsen - Solar Energy, 2020 - Elsevier
Datasets from meteorological reanalyses and retrievals from satellites are the available
sources of large-scale information about solar radiation. However, both the reanalyses and …