Decarbonization Study

Decarbonization studies focus on mitigating climate change by reducing carbon emissions across various sectors, primarily through optimizing energy production and consumption. Current research emphasizes integrating renewable energy sources, improving energy storage management (using batteries and hydrogen), and employing advanced control strategies like deep reinforcement learning and other machine learning algorithms (including convolutional neural networks) to enhance grid stability and efficiency. These efforts aim to create more sustainable and resilient energy systems, impacting both scientific understanding of complex energy dynamics and the practical implementation of carbon-neutral technologies.