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History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
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 …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
Clear sky solar irradiance models: A review of seventy models
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 …
with relatively simple parameterizations in order to estimate solar irradiance under clear sky …
Assessment of solar radiation resource and photovoltaic power potential across China based on optimized interpretable machine learning model and GIS-based …
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 …
deeper understanding of solar energy resources to successfully implement solar energy …
[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 …
irradiance: ERA5, the new global reanalysis from the ECMWF, and COSMO-REA6, the …
Machine learning for site-adaptation and solar radiation forecasting
Optimal management for solar energy systems requires quality data to build accurate
models for predicting the behavior of solar radiation. Solar irradiance and environmental …
models for predicting the behavior of solar radiation. Solar irradiance and environmental …
Comparative study on KNN and SVM based weather classification models for day ahead short term solar PV power forecasting
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 …
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 …
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
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 …
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
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 …
MW in the supply and demand of electricity, leading to several hours of power cut. Sixty …
Random forest regression for improved map** of solar irradiance at high latitudes
Datasets from meteorological reanalyses and retrievals from satellites are the available
sources of large-scale information about solar radiation. However, both the reanalyses and …
sources of large-scale information about solar radiation. However, both the reanalyses and …