/ Smart Grid
Prevent Data ErrorsFrom BecomingGrid Oscillation
Delayed and misaligned meter data skews load maps and triggers overcorrection. Expanso validates grid telemetry at the edge, so balancing decisions reflect actual conditions.
No grid hardware changes. No pipeline rewrites. Works alongside your AMI, ADMS, and SCADA.
Delayed, duplicated, and misaligned meter data distorts every grid decision
Load balancing, fault isolation, and DER management depend on current, complete, and accurate telemetry. Measure stale and duplicate readings in the intended environment before evaluating their downstream impact.
Balancing algorithms can react to stale data and overcorrect
When meter data arrives 15 seconds late, the load map the ADMS uses is already wrong. The balancing algorithm sees a load dip that has already resolved and dispatches generation to compensate. The result is overcorrection that ripples across the grid segment.
Voltage drift gets misclassified as congestion events
When substation telemetry arrives out of sequence, voltage variations look like congestion. The ADMS flags segments that are actually operating normally, and operators spend 15-30 minutes validating timestamps before they can respond to real events.
MTTR extends because operators can't trust the telemetry
During a fault, the first 20 minutes are often spent verifying whether the readings are accurate before isolation can begin. With unvalidated data, every decision requires manual confirmation.
DER integration suffers from incomplete visibility
Distributed energy resources report through varied protocols and timing. Without edge validation, the grid operator's picture of DER generation is always 10-30 seconds behind reality, making coordination unreliable.
Grid telemetry integrity, enforced at the edge
Expanso validates every meter reading, substation measurement, and DER report at the edge. Your AMI, ADMS, and analytics only receive data that passes validation.
What we validate
Meter timing consistency, measure alignment on the intended hardware and pipeline
Duplicate suppression, retransmitted readings stripped before ingestion
DER source alignment, distributed generation data synchronized with grid state
Voltage and load consistency: readings that conflict with physical constraints are flagged
What your systems receive
Time-consistent load maps that reflect actual grid conditions
Deduplicated meter streams for accurate demand calculations
Synchronized DER visibility for reliable grid coordination
Latency flags when any feeder data exceeds freshness thresholds
Large-Scale Deployment
14,847 distributed endpoints. 4.7 PB/month. Edge-first validation at grid scale.
A major U.S. city deployment across 14,847 endpoints validated Expanso's approach to edge-first data integrity at the scale modern grids demand. Processing moved to points of presence, raw data stayed local, and only metadata and flagged events flowed upstream.
"Do we need another monitoring layer?"
Expanso isn't another monitoring layer. It sits before your centralized monitoring, validating data before ingestion, not after. Your SCADA, ADMS, and grid analytics stay exactly where they are.
The difference is that the meter, substation, and DER data feeding those systems is now complete, time-consistent, and free of duplicates. Less noise in, better decisions out.
Built for smart grid operations
Vendor-agnostic across all meter and substation types
Deploys region by region across the grid
No grid hardware changes required
Scales across millions of meters and endpoints
Why teams deploy Expanso
Trusted load data for every balancing decision
Reduced alert fatigue across operations teams
Improved MTTR through reliable fault isolation
Architecture aligned with distributed grid topology
Stop balancing the grid on unverified data
Validate first. Operate with certainty.
