Forecasting of time series data presents some challenges because the data's nature is
complex and therefore difficult to accurately forecast. This study presents the design and …

Renewable energies have become pivotal in the global energy landscape. Their adoption is
crucial for phasing out fossil fuels and promoting environmentally friendly energy solutions …

Purpose The energy generation process through photovoltaic (PV) panels is contingent
upon uncontrollable variables such as wind patterns, cloud cover, temperatures, solar …

Across the world, countries are placing greater emphasis on transitioning to cleaner energy
sources, while also becoming increasingly concerned about the worsening climate crisis …

To further improve the accuracy of the power grid prediction, the paper proposes an
improved binary tree classification algorithm with the SVM and predicts the real time power …

Solar power is increasingly used as a source of renewable, sustainable energy and a tool in
the fight against climate change. However, the high variability of solar power output poses …

The quick development of power systems and the growing need for grid stability and energy
efficiency have placed a lot of strain on conventional optimization techniques. Quantum …