[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 …
nature of the solar resource highlights the importance of power forecasting for the grid …
Recent advances on nanofluids for low to medium temperature solar collectors: energy, exergy, economic analysis and environmental impact
The efficient exploitation of solar irradiation is one of the most encouraging ways of handling
numerous environmental concerns. Solar collectors are suitable devices that capture solar …
numerous environmental concerns. Solar collectors are suitable devices that capture solar …
[HTML][HTML] Extensive comparison of physical models for photovoltaic power forecasting
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 …
essential for both the profitability and the prospects of the technology. Physically inspired …
[HTML][HTML] Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks
Energy forecasting plays an important role in effective power grid management. The
widespread adoption of emerging technologies and the increased reliance on renewable …
widespread adoption of emerging technologies and the increased reliance on renewable …
Photovoltaic power forecasting based LSTM-Convolutional Network
K Wang, X Qi, H Liu - Energy, 2019 - Elsevier
The volatile and intermittent nature of solar energy itself presents a significant challenge in
integrating it into existing energy systems. Accurate photovoltaic power prediction plays an …
integrating it into existing energy systems. Accurate photovoltaic power prediction plays an …
Taxonomy research of artificial intelligence for deterministic solar power forecasting
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …
stochastic and volatile nature of solar power pose significant challenges to the reliable …
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
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 …
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization
M Pan, C Li, R Gao, Y Huang, H You, T Gu… - Journal of Cleaner …, 2020 - Elsevier
Accurate prediction of photovoltaic (PV) power for an ultra-short term can improve the usage
of grid-connected PV power. In this study, data preprocessing based on an ultra-short-term …
of grid-connected PV power. In this study, data preprocessing based on an ultra-short-term …
Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer model
As more and more photovoltaic (PV) systems are integrated into the grid, the intelligent
operation of the grid system is facing significant challenges. Therefore, accurately …
operation of the grid system is facing significant challenges. Therefore, accurately …
Verification of deterministic solar forecasts
The field of energy forecasting has attracted many researchers from different fields (eg,
meteorology, data sciences, mechanical or electrical engineering) over the last decade …
meteorology, data sciences, mechanical or electrical engineering) over the last decade …