Billing-Grade Meter Data Is a Promise, Not a Format
What it takes for meter data to be fit to bill from, and how to tell whether your meter data system keeps that promise.
Blog
Practical papers on the problems utilities solve with their meter, network, gas and water data, and what to ask of any software that claims to solve them.
Grid Data Management
Certified data, outages, MDMS cutovers and combination utilities.
What it takes for meter data to be fit to bill from, and how to tell whether your meter data system keeps that promise.
Outages and PSPS events leave marks in meter data. Here is how to keep them from turning into wrong bills, wrong alarms and wrong reports.
Run in parallel, explain every difference, and cut over only when the evidence says you are ready.
Combination utilities should not need two meter data stacks. The answer is a platform that is commodity-aware where it matters and shared everywhere else.
Grid Data Enhanced Analytics
Safe analytics for every desk, data-center interconnection, faults, EV chargers and honest results.
Why analytics that cannot command the field can go in front of every desk in the utility
Honest queue totals, feasibility at every ramp step, and connection options compared on one scale
Locating faults from fault current and from the meters that went dark, and saying whether the two agree
Why grid analytics should say what they could not see, and how to tell whether yours do
Your meters already know which homes charge an electric vehicle. Your records may not.
Grid Data Enhanced Analytics
Loss, design-day capacity, pipe inventory and methane, water quality and resilience.
Unaccounted-for gas, overdue leaks, bursts, and leaking water districts, read from the network data a utility already has.
Projecting the design day from the throughput and weather a utility already holds, and solving the network against it main by main
Building the pipe inventory from the utility's own records, surfacing the records that contradict themselves, and estimating methane as an honest range
Estimating residence time, water age and chlorine residual from the network data a utility already holds, and saying plainly that they are computed
Peaking, tomorrow's demand, fire flow, single points of failure and pump health, answered from the data a water utility already holds
Build, test and run
Synthetic test utilities, point-in-time recovery, integration failures and release gates.
Grid Data Simulator
Synthetic territories, networks, meters, and reads, delivered in your system's own data model, so testing no longer depends on customer data.
ControlPlane
Point-in-time recovery, monitoring that survives an outage, and repeatable releases for utility software that cannot afford a bad day.
Grid Data Integration Suite
When a message between utility systems fails, the team should be able to see it, fix the cause, and send it again.
Grid Data Testing Platform
A release should ship because the tests passed, and everyone should be able to see why they did.
Customers and conversations
Consent-first demand response and safe natural-language access to data.
Home Energy Management
Households stay in programs they understand and control. Show them exactly what a request will change, and let them say yes.
Whisper-Wind
The people who need answers should be able to ask for them directly, and the tool that answers should never be able to change the data.
Our team works with utilities from strategy to daily operations.
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