Accurately predicting the power produced during solar power generation can greatly reduce
the impact of the randomness and volatility of power generation on the stability of the power …

There is a growing demand for Green AI (Artificial Intelligence) technologies in the market
and society, as it emerges as a promising technology. Green AI technologies are used to …

The optimization of solar energy integration into the power grid relies heavily on accurate
forecasting of solar irradiance. In this study, a new approach for short-term solar irradiance …

This study uses operational data from a 180 kWp grid-connected solar PV system to train
and compare the performance of single and hybrid machine learning models in predicting …

Harvesting solar energy on rooftops can be a promising solution for providing affordable
energy. This requires accurately estimating spatio-temporal solar photovoltaic (PV) potential …

As a clean energy source, solar power plays an important role in reducing the high carbon
emissions of China's electricity system. However, the intermittent nature of the system limits …

An enigmatic challenge has been seen in recent years for the intermittency and
unpredictable nature of solar power energy. It is imperative to mitigate the sporadic behavior …

Using photovoltaic (PV) energy has increased in recently, due to new laws that aim to
reduce the global use of fossil fuels. The efficiency of a PV system relies on many types of …

Large-scale distributed renewable energy connected to the rural distribution network has
given birth to a new rural distribution system with a high proportion of new energy typical …

PV power generation is affected by environmental factors such as solar radiation intensity,
temperature and humidity, and PV power generation is characterized by volatility and …