Providing a 360 degree view of demand
Understanding how customers use electricity is the foundation for any successful load management effort. You have access to a wealth of data - it’s time to start using it.
Understanding is the foundation of any solution
Good news is you probably already have the data you need. You just don’t know it. That’s where we come in. For years, utilities have been installing smart meters. Most use them primarily for automatics reading, tracking outages and other system problems, and remotely disconnecting services. But it means they also have access to a wealth of data about consumers. For most utilities this is a huge untapped asset.
Leverage existing Information
Our Grid Analytics solution leverages your existing investments in Smart Meters to analyze and characterize non-technical losses and overloaded distribution transformers. That means it can be deployed without requiring additional infrastructure deployment – and utilize machine learning and AI to analyze the data you already have.
Uncover hidden insights
Leverage the power of Machine Learning and AI to uncover what is using power and when to gain a clearer picture of the problem. This allows utility operators to see what customer loads are affecting the grid the most and come up with the most effective possible mitigation plan.
Rainforest’s dashboards consist of visualizations that provide insights into how energy is being used across the grid and identification of problem areas. Views are provided with both averages over time, as well as time-based visualizations that show times of specific concern.
Isolate impact of EVs
Understanding where and when EVs are charging across the grid is a huge challenge. But the ability to clearly see their impact is necessary in order to accurately identify existing grid capacity constraints and create effective managed charging solutions.
Don’t neglect other opportunities
Our complete disaggregation solution is also able to identify the amount of energy going into heating, cooling, hot water, clothes dryers, and refrigerators, as well as how much power is being generated by rooftop solar panels.