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Short-term probabilistic forecasts for Direct Normal Irradiance

Renewable Energy, 2017
Abstract A k-nearest neighbor (kNN) ensemble model has been developed to generate Probability Density Function (PDF) forecasts for intra-hour Direct Normal Irradiance (DNI). This probabilistic forecasting model, which uses diffuse irradiance measurements and cloud cover information as exogenous feature inputs, adaptively provides arbitrary PDF ...
CARLOS Coimbra, Yinghao Chu
exaly   +3 more sources

Adarmer: An Adaptive Transformer for Direct Normal Irradiance Forecasting

2024 International Conference on Machine Learning and Applications (ICMLA)
Concentrated solar power (CSP) technology offers a carbon-free approach to power generation, providing a relatively stable and uninterrupted electricity supply compared to other renewable sources.
Muhammad Saud Ul Hassan   +2 more
semanticscholar   +2 more sources

Estimation of direct normal irradiance from measured global and corrected diffuse horizontal irradiance

Energy, 2014
Abstract DNI (direct normal irradiance) can be calculated from global and diffuse horizontal irradiance measurements. However, the diffuse irradiance values need to be corrected because the pyranometer's shadowband does not obstruct only the solar disk but also a larger part of the sky vault.
A Kazantzidis
exaly   +2 more sources

Probabilistic prediction of direct normal irradiance derived from global horizontal irradiance over the Korean Peninsula by using Monte-Carlo simulation

Solar Energy, 2019
Solar resource assessment is carried out in a feasibility study using reliable meteorological elements including solar irradiance. In concentrating solar power plants, the direct normal irradiance is the key variable in the system operation.
Chang Kim   +2 more
exaly   +2 more sources

Constructing a gridded direct normal irradiance dataset in China during 1981–2014

Renewable and Sustainable Energy Reviews, 2020
High-quality direct normal irradiance (DNI) observations are of vital importance for the optimal design, installation and profitability of CST plants. Numerous models have been developed for estimating DNI at regional or global scales.
Lunche Wang, Jing Wei, Chris Gueymard
exaly   +2 more sources

Estimation of one-minute direct normal irradiance using a deep neural network for five climate zones

Renewable and Sustainable Energy Reviews, 2023
JOSÉ M Cardemil   +2 more
exaly   +2 more sources

Prediction of Direct Normal Irradiation Based on CNN-LSTM Model

Proceedings of the 2020 5th International Conference on Multimedia Systems and Signal Processing, 2020
Due to the intermittency and instability of power output of solar power stations (SPS), the safety and stationarity of the electric grid are facing considerable challenges. So, it is essential to predict the power output of SPS accurately. To date, as the most important meteorological factor determining the power output of SPS, the prediction of direct
Chengying Zhang   +3 more
openaire   +1 more source

Ground-based validation of aerosol optical depth from CAMS reanalysis project: An uncertainty input on direct normal irradiance under cloud-free conditions

, 2021
Under cloud-free skies, aerosols are mainly responsible for controlling the observed Direct Normal Irradiance (DNI) variability for studying and designing Solar Concentrating Technologies. In this study, the induced uncertainties on cloud-free DNI due to
V. Salamalikis   +3 more
semanticscholar   +1 more source

Calculation of direct normal irradiation from global horizontal irradiation

AIP Conference Proceedings, 2012
Concentrator Photovoltaic (CPV) systems only work with the Direct Normal Irradiance (DNI), so a knowledge of DNI data is required for the design and evaluation of these kinds of systems. DNI is not always measured at ground meteorological stations due to equipment costs.
Pedro Rodrigo   +8 more
openaire   +1 more source

Comparative Study of 16 Clear-Sky Radiative Transfer Models to Estimate Direct Normal Irradiance (DNI) in Botucatu, Brazil

, 2021
The interest of the direct normal irradiation (DNI) estimation is important in the evaluation of the solar potential and, consequently, for data correction and expansion of the historical series. In this study, a review of the performance of 16 models of
Cícero Manoel dos Santos   +5 more
semanticscholar   +1 more source

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