Smart Grid Analytics

World Market for $1 trillion is being invested this decade in upgrading the power infrastructure globally to make the devices in the power grid remotely machine addressable. These devices include meters, thermostats, home appliances and HVAC equipment, factory equipment and machinery, and transformers, substations, distribution feeders, and power generation and control componentry.

Till Now 310 million smart meters have been installed globally. That number will more than triple by 2022, reaching nearly 1.1 billion according to Navigant Research. While representing only a fraction of the sensors on the grid infrastructure, the smart meter installation numbers provide a good indication of the penetration and rate of growth of the smart grid. These developments are occurring worldwide.

Collectively, these devices generate massive amounts of information. With recent developments in information technology, including elastic cloud computing and the sciences of big data, machine learning, and emerging social human-computer interaction models, we are able to realize the economic, social, and environmental value of the smart grid by aggregating the sum of these data to correlate and scientifically analyze all of the information generated by the smart grid infrastructure in real time.

By holistically correlating and analyzing all of the dynamics and interactions associated with the end-to-end power infrastructure—including current and predicted demand, consumption, electrical vehicle load, distributed generation capacity, technical and non-technical losses, weather, and generation capacity— across the entire value chain, we can realize dramatic advances in energy efficiency.

Smart grid analytics enables us to provide real-time pricing signals to energy consumers, manage sophisticated energy efficiency and demand response programs, conserve energy use, reduce the fuel necessary to power the grid, reconfigure the power network around points of failure, recover instantly from power interruptions, accurately predict load and distributed generation capacity, rapidly recover from damage inflicted by weather events and system failures, and reduce adverse environmental impact.

The advent of smart grid analytics represents a major advance in the development of energy efficiency technology. Many leading utilities including Enel, GDF Suez, Exelon and PG&E work with us to drive innovation by applying the science of smart grid analytics to the benefit of their communities, consumers, and stakeholders.