Which feature of CPS Node Architecture supports renewable energy integration?

The correct choice emphasizes the enhanced data processing capabilities within CPS Node Architecture, which play a crucial role in supporting renewable energy integration. With the rise of renewable energy sources like solar and wind, there is a significant need for sophisticated data management and analytical tools. These capabilities enable real-time monitoring, forecasting, and control of energy flows from renewable sources.

Enhanced data processing allows for better management of variable and intermittent energy production from renewables. It facilitates the integration of smart grid technologies, enabling systems to respond dynamically to changes in energy supply and demand. Moreover, through advanced algorithms and data analytics, efficiencies can be improved in energy use and storage management, which helps in balancing the grid effectively.

In contrast, increased reliance on traditional energy sources does not promote renewable integration, nor do minimized energy storage solutions. A lack of standardization hinders interoperability and communication between different energy systems, which can impede the adoption of renewable energy technologies. Therefore, enhanced data processing capabilities are pivotal in advancing the seamless integration of renewables into the energy landscape.