Smart Grid Analytics Software Development | AMI & Outage Detection

AMI data without analytics is just storage cost

A smart meter rollout generates value only when the data it produces is processed fast enough to inform decisions. Last-gasp events are useless if they arrive after the crew is already on site. Interval data from 500,000 meters has no planning value if it takes two weeks to run a study from it. We build analytics platforms scoped to your AMI vendor, your grid topology, and your operational workflows, not generic energy analytics tools that require configuration to fit your environment.

  • AMI and smart meter data ingestion and processing at scale

  • Outage detection and localization from meter event data

  • Grid performance dashboards for operations and planning

  • Voltage and power quality analytics

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The problem

Sound familiar?

  • AMI data arriving in volume you can't process fast enough to act on: outages identified by customer calls before the NOC sees them?

  • Grid planning still based on peak-year historical data because there's no platform to analyze the interval data the smart meters are already sending?

Short answer

Smart grid analytics software processes high-volume interval and event data from AMI deployments to give utilities and grid operators actionable information: outage detection from last-gasp events, voltage quality analysis by feeder, load forecasting for planning, and reliability metrics calculated automatically. RaftLabs builds custom smart grid analytics platforms that handle AMI data at scale and integrate with your existing SCADA and OMS systems. Most projects deliver in 12 to 16 weeks at a fixed cost with full source code ownership.

Key takeaways

  • Last-gasp event processing maps outage extent within 60-90 seconds of a fault, well before customer calls reach the contact center.
  • Time-series storage is matched to actual query patterns - TimescaleDB, Parquet on object storage, or InfluxDB/Kafka - not a general-purpose relational database that can't sustain AMI write throughput.
  • The platform calculates SAIDI, SAIFI, CAIDI, and time-to-NOC-awareness automatically at feeder, zone, and network level, formatted for regulatory reliability reporting.
  • Projects deliver in 12-16 weeks at a fixed cost, scoped to your specific AMI vendor, meter count, and SCADA integration requirements.

Trusted by

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Grid analytics delivery, by the numbers

products shipped
100+
industries served
24+
cost delivery
Fixed
week delivery cycles
12-14

Getting the data model right is the difference between seconds and days

Time-series storage, event stream processing, and query optimization for interval data are different engineering problems from general-purpose analytics. We build platforms scoped to your AMI vendor and grid topology from the start.

Capabilities

What we build

  • 01
    AMI data pipeline

    High-volume meter ingestion via REST API, SFTP, or DLMS/COSEM parsing, with validation, gap-filling, and IEC 61968/61970 CIM-compliant topology modelling.

    Built with
    TimescaleDB · Kafka
  • 02
    Outage detection and localization

    Last-gasp event processing maps outage extent within 60-90 seconds, cross-referenced with SCADA breaker status via IEC 60870-5-104 and DNP3 for confirmed restoration tracking.

  • 03
    Voltage and power quality monitoring

    Interval voltage analysis flags sustained deviations by feeder against ANSI C84.1 ranges, with PMU synchrophasor streams giving transmission operators dynamic stability indices.

  • 04
    Load forecasting and grid planning

    LSTM and Prophet models produce day-ahead and 7-day feeder-level forecasts from actual interval data, with DER impact modelling and OpenADR demand response measurement.

  • 05
    Distribution analytics dashboard

    Feeder loading against thermal rating, automated SAIDI/SAIFI/CAIDI calculation, and NERC CIP-aligned access controls for compliant grid data handling.

  • 06
    Non-technical loss detection

    Consumption anomaly detection flags meter tampering and illegal connections, with energy balance calculations surfacing probable NTL incidents ranked by confidence score.

How we work

From scope to live analytics platform

  1. Week 1
    01

    AMI and topology scoping

    We map your AMI vendor, meter count, and SCADA environment. You leave week 1 with a written scope document and a fixed-price quote.

  2. Weeks 2-4
    02

    Data model and storage design

    Time-series storage and outage detection logic designed against your actual data volume and topology.

  3. Weeks 5-11
    03

    Build and integrate

    Ingestion pipeline, outage detection, and dashboards built in parallel, tested against real meter data.

  4. Final 2-3 weeks
    04

    Launch and NOC team training

    NOC and planning teams trained on the dashboards before full rollout.

Why us

Why utilities and grid operators choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who assess your AMI environment also build the solution. No bait-and-switch, no offshore handoff after the contract is signed.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts.

  • 03
    9 years and 100+ products shipped

    Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. Track record building high-volume time-series platforms.

  • 04
    Outages detected before the phone rings

    Last-gasp processing beats customer calls to the contact center by design.

  • 05
    Sized for your actual data volume

    Storage architecture is chosen from your meter count and read frequency, not a generic default.

Have a smart grid analytics project?

Tell us your AMI vendor, meter count, and what data you're not getting value from yet. We'll design the platform and give you a fixed cost.

Talk about your smart grid analytics project

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Frequently asked questions

Smart grid analytics is the software layer that processes data from AMI deployments, SCADA systems, PMU installations, and grid sensors to give utilities operational and planning intelligence: NOC dashboards for outage detection and voltage exceptions, planning data for load forecasting and DER impact, and reliability reporting formatted for regulatory submission.

We integrate with AMI head-end systems from Itron, Landis+Gyr, Honeywell Elster, Aclara, and Sensus via published APIs or export formats. For SCADA, we support IEC 60870-5-101/104 and DNP3 connections to RTUs and IEDs, and IEEE C37.118.2 for PMU synchrophasor streams.

We select purpose-built time-series storage matched to your query patterns: TimescaleDB for structured queries, Parquet on object storage for long-retention analytical workloads, and InfluxDB or Kafka for streaming ingest. Time-based partitioning and pre-aggregated rollups maintain query performance as volume grows.

The platform calculates SAIDI, SAIFI, and CAIDI from outage event data at feeder, zone, substation, and network area level, with major event exclusions applied automatically. It also calculates time-to-NOC-awareness from AMI last-gasp events and MAIFI where meter reconnect data can distinguish momentary from sustained interruptions.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Smart Grid Analytics Software Development in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.

Go deeper

Browse our case studies

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