Smarter asset management
Better quality and more complete data across an asset network will tell us more about human behavior and asset performance/utilization, enabling systems and models to better predict and control demand through the use of demand reduction schemes and the like.
This can provide operational efficiencies, improve public safety or defer the need to replace or augment expensive infrastructure, which benefit the consumers, businesses, governments, and utilities.
Utility companies (power, water, and gas) are looking for more efficient asset management at the residential level, which can be done through smart metering (using sensors to transfer data in real-time) rather than the traditional manual meter-reading. Energy demand can be adjusted through a triggering system to avoid dramatic swings in usage and system overload.
Distributed energy resources
Distributed energy resources (DER) are smaller power sources that can be aggregated to provide power necessary to meet regular demand.
As the electricity grid continues to modernize, DER such as storage, solar and other advanced renewable technologies can help facilitate the transition to a smarter grid.
The internet of things has the potential to be the backbone of the “internet of energy” since it will enable widespread, efficient and cost effective integration of these technologies.
Prosumers are energy consumers who create their own energy, and may even have the option of selling it back into the grid, creating a bi-directional flow of energy.
Utility companies need to engage with this unique customer segment, as they can pave the way for new platforms that will serve all consumer segments.
Prosumers want ease-of-use and simple, self-serve interactions, referred to as “set-and-forget” solutions. Offering energy insights through real-time data collection, giving control of energy management to the consumer, and providing proactive notification capabilities are the cornerstones for prosumer consumer initiatives.
Just a few lines of code connects devices to Buddy Platform, no heavy agents or proprietary silicon requirements necessary. This model allows any connected device to send data to Buddy, helping to gain intelligence from sensors already deployed, and ones that soon will be.
Buddy can translate raw data into seamless connections to gain valuable insight through actionable business and customer intelligence. This includes functionality for custom analysis in the cloud, and two way communication between devices, or from your business systems back to the devices themselves.
Once data is normalized with Buddy, it can be sent to a wide variety of business systems for rich visualization, connecting to machine to machine systems, or deep analysis with big data systems like Hadoop. Easily integrate data into everything from Splunk, Salesforce, Microsoft Dynamics, ZenDesk, Tableau and beyond.