A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

R Ahmed, V Sreeram, Y Mishra, MD Arif - Renewable and Sustainable …, 2020 - Elsevier
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …

[HTML][HTML] Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction

D Markovics, MJ Mayer - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The increase of the worldwide installed photovoltaic (PV) capacity and the intermittent
nature of the solar resource highlights the importance of power forecasting for the grid …

Review of energy system flexibility measures to enable high levels of variable renewable electricity

PD Lund, J Lindgren, J Mikkola, J Salpakari - Renewable and sustainable …, 2015 - Elsevier
The paper reviews different approaches, technologies, and strategies to manage large-scale
schemes of variable renewable electricity such as solar and wind power. We consider both …

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 …

Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond

T Hong, P Pinson, S Fan, H Zareipour, A Troccoli… - International Journal of …, 2016 - Elsevier
The energy industry has been going through a significant modernization process over the
last decade. Its infrastructure is being upgraded rapidly. The supply, demand and prices are …

[HTML][HTML] Extensive comparison of physical models for photovoltaic power forecasting

MJ Mayer, G Gróf - Applied Energy, 2021 - Elsevier
Forecasting the power production of grid-connected photovoltaic (PV) power plants is
essential for both the profitability and the prospects of the technology. Physically inspired …

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 …

Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM

X Huang, Q Li, Y Tai, Z Chen, J Liu, J Shi, W Liu - Energy, 2022 - Elsevier
More and more photovoltaic (PV) power generation is incorporated into the grid. However,
the intermittence and fluctuation of solar energy have brought huge challenges to the safe …

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 …

[HTML][HTML] Benefits of physical and machine learning hybridization for photovoltaic power forecasting

MJ Mayer - Renewable and sustainable energy reviews, 2022 - Elsevier
Irradiance-to-power conversion is an essential step of state-of-the-art photovoltaic (PV)
power forecasting, regardless of the source and post-processing of irradiance forecasts. The …