[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 …

Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

[HTML][HTML] Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach

W Khan, S Walker, W Zeiler - Energy, 2022 - Elsevier
An accurate solar energy forecast is of utmost importance to allow a higher level of
integration of renewable energy into the controls of the existing electricity grid. With the …

[HTML][HTML] Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models

E Sarmas, E Spiliotis, E Stamatopoulos, V Marinakis… - Renewable Energy, 2023 - Elsevier
Short-term photovoltaic (PV) power forecasting is essential for integrating renewable energy
sources into the grid as it provides accurate and timely information on the expected output of …

[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 …

Forecasting of photovoltaic power generation and model optimization: A review

UK Das, KS Tey, M Seyedmahmoudian… - … and Sustainable Energy …, 2018 - Elsevier
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …

Solar photovoltaic generation forecasting methods: A review

S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …

A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models

KS Garud, S Jayaraj, MY Lee - International Journal of Energy …, 2021 - Wiley Online Library
The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

MN Akhter, S Mekhilef, H Mokhlis… - IET Renewable …, 2019 - Wiley Online Library
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …

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 …