Review of photovoltaic power forecasting

J Antonanzas, N Osorio, R Escobar, R Urraca… - Solar energy, 2016 - Elsevier
Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …

Review on probabilistic forecasting of photovoltaic power production and electricity consumption

DW Van der Meer, J Widén, J Munkhammar - Renewable and Sustainable …, 2018 - Elsevier
Abstract tAccurate forecasting simultaneously becomes more important and more
challenging due to the increasing penetration of photovoltaic (PV) systems in the built …

[HTML][HTML] Hourly predictions of direct normal irradiation using an innovative hybrid LSTM model for concentrating solar power projects in hyper-arid regions

A Djaafari, A Ibrahim, N Bailek, K Bouchouicha… - Energy Reports, 2022 - Elsevier
Although solar energy harnessing capacity varies considerably based on the employed
solar energy technology and the meteorological conditions, accurate direct normal …

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components

L Benali, G Notton, A Fouilloy, C Voyant, R Dizene - Renewable energy, 2019 - Elsevier
Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …

A nonlinear autoregressive exogenous (NARX) neural network model for the prediction of the daily direct solar radiation

Z Boussaada, O Curea, A Remaci, H Camblong… - Energies, 2018 - mdpi.com
The solar photovoltaic (PV) energy has an important place among the renewable energy
sources. Therefore, several researchers have been interested by its modelling and its …

Hybrid deep neural model for hourly solar irradiance forecasting

X Huang, Q Li, Y Tai, Z Chen, J Zhang, J Shi, B Gao… - Renewable Energy, 2021 - Elsevier
Owing to integrating photovoltaic solar systems into power networks, accurate prediction of
solar irradiance plays an increasingly significant role in electric energy planning and …

Solar forecasting methods for renewable energy integration

RH Inman, HTC Pedro, CFM Coimbra - Progress in energy and combustion …, 2013 - Elsevier
The higher penetration of renewable resources in the energy portfolios of several
communities accentuates the need for accurate forecasting of variable resources (solar …

Review of solar irradiance forecasting methods and a proposition for small-scale insular grids

M Diagne, M David, P Lauret, J Boland… - … and Sustainable Energy …, 2013 - Elsevier
Integration of solar energy into the electricity network is becoming essential because of its
continually increasing growth in usage. An efficient use of the fluctuating energy output of …

Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods

F Lin, Y Zhang, J Wang - International Journal of Forecasting, 2023 - Elsevier
As the penetration of solar energy generation into power systems keeps rising, intra-hour
solar forecasting (IHSF) is becoming increasingly important for the secure and economical …

Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed

CW Chow, B Urquhart, M Lave, A Dominguez, J Kleissl… - Solar Energy, 2011 - Elsevier
A method for intra-hour, sub-kilometer cloud forecasting and irradiance nowcasting using a
ground-based sky imager at the University of California, San Diego is presented. Sky …