Accurately predicting photovoltaic output power is one of the most important basic tasks for
the rapid development of the smart grid. The factors that influence photovoltaic output power …

Short-term photovoltaic power forecasting is of great significance for improving the operation
of power systems and increasing the penetration of photovoltaic power. To improve the …

Since the harmful effects of climate warming on our planet were first observed, the use of
renewable energy resources has been significantly increasing. Among the potential …

It is widely considered that solar energy will be one of the most competitive energy sources
in the future, and solar energy currently accounts for high percentages of power generation …

To mitigate solar curtailment caused by large-scale development of photovoltaic (PV) power
generation, accurate forecasting of PV power generation is important. A hybrid forecasting …

To increase the accuracy of photovoltaic (PV) power prediction results, a hybrid prediction
model based on ensemble empirical mode decomposition (EEMD), autoregressive moving …

The aim of this paper is first, to provide a detailed overview on conventional and modern
techniques of solar photovoltaic (PV) forecasting and then, to determine the predominating …

Recently, with the development of renewable energy technologies, photovoltaic (PV) power
generation is widely used in the grid. However, as PV power generation is influenced by …

In order to improve the accuracy of short-term photovoltaic power prediction, a
comprehensively artificial intelligent (AI) based algorithm has been proposed. Firstly, a fuzzy …

The accuracy of photovoltaic power forecasting is crucial to the revenue of new energy
generation projects in electricity market trading. However, due to the highly stochastic …