Growth in the AI-enabled DER integration market to reach $481mn by 2020

With the rise in connected devices and available data, AI vendors have emerged to help utilities find innovative ways to integrate DER

A new report from Guidehouse Insights analyses AI capabilities for enabling distributed energy resources (DER) integration, including a discussion of key industry trends, applications, market drivers and barriers, and technology considerations.

The report also provides market forecasts extending through 2030.

AI has been deployed in the energy industry for a variety of grid and market operations. One of the most compelling applications of AI in the energy industry is for the integration of DER.

According to a new report from Guidehouse Insights, the market for AI-enabled DER integration will experience a compound annual growth rate (CAGR) of 10% and reach $481.8mn by 2030.

“The proliferation of advanced metering infrastructure (AMI), or smart meters, the influx of data for more advanced planning and operation of the grid, and the increasing capacity of DER requiring advanced communication networks and two-way power flows are reshaping the way the distribution grid operates,” says Hannah Davis, senior research analyst with Guidehouse Insights.

“AI for DER integration can drive benefits for utilities through better load and generation forecasting tools, grid optimization and network planning tools, and power quality management.”

As the number of networked sensors and demand side devices, such as smart inverters and smart thermostats has dramatically increased, so has the amount of data that utilities receive.

With technology advancements, utilities are uncovering more innovative ways to utilise their data.