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 …

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 …

Solar irradiance forecasting in the tropics using numerical weather prediction and statistical learning

H Verbois, R Huva, A Rusydi, W Walsh - Solar Energy, 2018 - Elsevier
Increasing penetration of distributed renewable power means that reliable generation
forecasts are required for grid operation. The present work aims at combining state of the art …

Probabilistic solar power forecasting using bayesian model averaging

K Doubleday, S Jascourt, W Kleiber… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
There is rising interest in probabilistic forecasting to mitigate risks from solar power
uncertainty, but the numerical weather prediction (NWP) ensembles readily available to …

Bayesian bootstrap quantile regression for probabilistic photovoltaic power forecasting

M Bozorg, A Bracale, P Caramia… - … and Control of …, 2020 - ieeexplore.ieee.org
Photovoltaic (PV) systems are widely spread across MV and LV distribution systems and the
penetration of PV generation is solidly growing. Because of the uncertain nature of the solar …

Benchmark probabilistic solar forecasts: Characteristics and recommendations

K Doubleday, VVS Hernandez, BM Hodge - Solar Energy, 2020 - Elsevier
We illustrate and compare commonly used benchmark, or reference, methods for
probabilistic solar forecasting that researchers use to measure the performance of their …

Probabilistic forecasting of day-ahead solar irradiance using quantile gradient boosting

H Verbois, A Rusydi, A Thiery - Solar Energy, 2018 - Elsevier
Due to the chaotic nature of the underlying physical processes, even state-of-the-art models
cannot perfectly forecast the solar irradiance at the surface of the earth. There is, therefore, a …

Execution of synthetic Bayesian model average for solar energy forecasting

O Abedinia, M Bagheri - IET Renewable Power Generation, 2022 - Wiley Online Library
Accurate photovoltaic (PV) forecasting is quite crucial in planning and in the regular
operation of power system. Stochastic habit along with the high risks in PV signal uncertainty …

Weighting approaches in data mining and knowledge discovery: A review

Z Hajirahimi, M Khashei - Neural Processing Letters, 2023 - Springer
Modeling and forecasting are impressive and active research areas, which have been
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …

Predicting rare events of solar power production with the analog ensemble

S Alessandrini - Solar Energy, 2022 - Elsevier
Some revised versions of the analog ensemble (AnEn) algorithm to improve its performance
when predicting rare events of solar power production are presented. Rare events are …