Automation And The Grid: The Rise Of Grid-Interactive, Efficient Buildings

AIRAH

Sep 13

What is a grid-interactive efficient building? What are its characteristics and benefits, and who are its stakeholders? Cindy Zhu answers these questions and looks at how data analytics and machine learning can be applied to demand management and energy optimization for building owners.

Viewers will learn about using data for automated system optimization with examples of showcase sites that use edge computing for continuous demand management. The presentation also looks at real-time performance tracking against carbon emissions caps and building energy performance standards.

Data analytics and machine learning can benefit utilities, grid reliability, and grid modernization through OpenADR, persistent energy efficiency, and transparency of customer end use load profiles. These topics are also explored in this presentation.