In recent years, renewable and sustainable energy sources have attracted the attention of
various investors and stakeholders, such as energy sector agents and even consumers. It is …

The conventional grid is increasingly integrating renewable energy sources like solar
energy to lower carbon emissions and other greenhouse gases. While energy management …

As the penetration rate of solar energy in the grid continues to enhance, solar power
photovoltaic generation forecasts have become an indispensable aspect of mechanism …

Owing to the continuous increase in the proportion of solar generation accounting for the
total global generation, real-time management of solar power has become indispensable …

The solar photovoltaic system is an emerging renewable energy resource. The performance
of the solar photovoltaic system is predicted based on the historical experimental dataset. In …

One of the biggest challenges is towards ensuring large‐scale integration of photovoltaic
systems into buildings. This work is aimed at presenting a building integrated photovoltaic …

Solar panels can generate energy to meet almost all of the energy needs of a house.
Batteries store energy generated during daylight hours for future use. Also, it may be …

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 …

Precise renewable energy feed-in forecasts are essential for an effective and efficient
integration of renewables into energy systems, and research contributions that help to …

Predicting solar irradiance has proven to be a challenging task due to its inherently
unpredictable and chaotic characteristics. Although machine learning and deep learning …