Variable Supply Meets Variable Demand
The rapid transformation of our power sector from flexible, dirty power plants, to inflexible low carbon and renewable energy sources promises a healthier, cleaner future. Yet it presents a new challenge: balancing the power grid. Power supplied by sunshine and wind is continually in flux. Energy managers, utility network analysts, and data scientists must wrangle big data from smart meters and sensors throughout the grid to predict supply and demand and shift energy resources to when and where they’re needed.
Visualizing All the Variables for Real-time Utility Analytics
OmniSci is the immersive, GPU-accelerated platform for utility network analysts and data scientists to visualize all of their data, all at once. From distributed energy assets throughout the grid and home smart meters, to weather forecasts, demographics, pricing schedules and beyond. OmniSci provides interactive visual analytics of massive, billion-row datasets, from disparate sources, all with millisecond results. OmniSci allows analysts to make real-time, operational decisions to keep the grid efficiently and economically balanced.
Real-Time Smart Meter Data Analysis at Scale
Utility companies are installing smart meters and sensors at record levels, with OmniSci the ability to conduct smart meter data analysis at scale is making this an even more viable business decision. OmniSci’s open source SQL-engine is already used by major utility companies for an array of use cases around power grid optimization, smart meters, power consumption, and sub-market pricing.
Find out what else OmniSci is doing in the Utilities Industry.