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 …
How solar radiation forecasting impacts the utilization of solar energy: A critical review
N Krishnan, KR Kumar, CS Inda - Journal of Cleaner Production, 2023 - Elsevier
The demand for energy generation from solar energy resource has been exponentially
increasing in recent years. It is integral for a grid operator to maintain the balance between …
increasing in recent years. It is integral for a grid operator to maintain the balance between …
Hourly solar radiation estimation and uncertainty quantification using hybrid models
L Wang, Y Lu, Z Wang, H Li, M Zhang - Renewable and Sustainable …, 2024 - Elsevier
Solar energy, considered to be the most abundant renewable resource, is one of the most
effective methods for reducing carbon emissions. The quantification of the uncertainty in the …
effective methods for reducing carbon emissions. The quantification of the uncertainty in the …
A current perspective on the accuracy of incoming solar energy forecasting
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …
results reported in 1705 accuracy tests reported in several geographic regions (North …
Day-ahead solar irradiance forecasting for microgrids using a long short-term memory recurrent neural network: A deep learning approach
In microgrids, forecasting solar power output is crucial for optimizing operation and reducing
the impact of uncertainty. To forecast solar power output, it is essential to forecast solar …
the impact of uncertainty. To forecast solar power output, it is essential to forecast solar …
Predicting photovoltaic power production using high-uncertainty weather forecasts
A growing interest in renewable power increases its impact on the energy grid, posing
significant challenges to reliability, stability, and planning. Weather-based prediction …
significant challenges to reliability, stability, and planning. Weather-based prediction …
Reliable solar irradiance prediction using ensemble learning-based models: A comparative study
Accurately predicting solar irradiance is important in designing and efficiently managing
photovoltaic systems. This paper aims to provide a reliable short-term prediction of solar …
photovoltaic systems. This paper aims to provide a reliable short-term prediction of solar …
Random forest solar power forecast based on classification optimization
With the rapid development of the photovoltaic industry, the share of photovoltaic power
generation in the power trading market is growing. The intermittent and uncontrollable …
generation in the power trading market is growing. The intermittent and uncontrollable …
A comprehensive review and analysis of solar forecasting techniques
In the last two decades, renewable energy has been paid immeasurable attention to toward
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
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 …
leveraging advanced forecasting methods, post-processing has become a standard practice …