Application Of AI And ML In The Energy Community

Artificial intelligence (AI) and machine learning provide equal transformative potential with even more potential.

Fremont, CA: Internet, power, and mobile phones are all innovations that have led to numerous business models, radically changed economies, and changed how people live and work forever.

Artificial intelligence (AI) and machine learning provide equal transformative potential with even more potential. People no longer have to precisely explain or program how to undertake all the tasks of new systems or technologies.

AutoGrid implements AI and machine learning to the energy community, providing robust solutions for smart grid/device analysis. As a result, participants in the energy value chain can improve the electric network radically and provide new energy business models.

These predictive analytical insights enable utility companies to guarantee the reliability of a more distributed electric grid, recognize devices along the verge of failure, optimize energy consumption more effectively, make better plans for the future, and leverage the predictive consumer forecasts.

AutoGrid constructs a smarter, distributed-energy world with software applications. The pliancy management applications suite of the company allows utilities, electric retailers, and project developers for renewable energy and power service contributors to deliver clean, affordable and trustworthy energy in real-time and at scale by managing networked distributed energy resources (DERs).

In agreement with Xcel Energy, National Grid, E.ON, CPS Energy, Total, NextEra Energy and 35 other leading energy firms worldwide, AutoGrid has 5,000 megawatts of DER.

AutoGrid Flex is the first and only principal solution in all three areas: virtual power plant management, demand response management, and distributed energy resources management system.

The modern equity investment from Shell Ventures LLC was anchored by AutoGrid, a market leader in energy flexibility management software. This funding is an enlargement of a Series D investment round announced by a strong energy company consisting of CLP Group, Innogy, Tenaska, Envision Ventures, National Grids, Orsted, and Total Energy Ventures.

The investment will accelerate AutoGrid's deployment to AI-driven prognostic controlsTM of its connected, distributed, and flexible energy resources on a real-time and huge basis of AutoGrid's Energy Internet platformTM and AutoGrid FlexTM. Shell Ventures, Royal Dutch Shell plc corporate venture capital arm.

Shell has been an investor in the entire range of renewable energy technologies and digital solutions from O&G to venture capital since 1997 and continues to have a tradition in venture capital.

The expertise and AI-driven approach of AutoGrid is used to streamline and harness existing data sources to produce accurate forecasts and predictions of distributed production and energy consumption. -AI and machine learning on the grid edge are developed by AutoGrid to make the most of advanced machine learning capabilities, which can help to reap the value of the exponential growth of IoT data.