As the world continues to grapple with the effects of climate change, renewable energy has emerged as a crucial solution to reduce carbon emissions and mitigate the impacts of global warming. However, the integration of renewable energy sources into the power grid poses a significant challenge due to their intermittent nature. To address this challenge, accurate forecasting and optimization of renewable energy generation are essential. In recent years, artificial intelligence (AI) and quantum computing have emerged as promising technologies to enhance renewable energy forecasting and optimization.
AI has already demonstrated its potential in various fields, including renewable energy.