DISTRIBUTION INTELLIGENCE FOR AFRICAN GRIDS

Every unit of energy accounted for.

AMPERE traces energy from the bulk supply point to collected revenue — finding where it is lost, which assets are failing, and what to fix first.

BSP → METEREND-TO-END ENERGY TRACE
6ATC&C LOSS COMPONENTS
15 MINDATA RESOLUTION
ENERGY BALANCE · SERVICE REGION 04 · MONTH TO DATESAMPLE DATA
ENERGY RECEIVED418.6 GWh100.0%
BILLED328.2 GWh78.4%
−90.4 GWh technical + commercial loss · $9.0M
COLLECTED264.1 GWh63.1%
−64.1 GWh billed but uncollected · $6.4M
WORST FEEDERS BY LOSSALL FEEDERS
Feeder A-1434.2%$1.6M
Feeder B-0728.7%$1.2M
Feeder C-2222.6%$840k
Feeder D-0517.4%$610k
Feeder E-1113.1%$415k

01 / THE CHALLENGE

Two structural problems. One network. One data foundation.

Distribution utilities lose a quarter to a third of input energy between the bulk supply point and collected revenue, while thousands of network assets operate with no condition visibility. Both problems are visible in the same data — once that data is integrated.

25–35%of input energy lost between supply point and collected revenue
20–30 yrsof asset life decided by early operating practice
PROBLEM 01REVENUE ASSURANCE

Sustained revenue loss

Technical, commercial and collection losses remain materially above regulatory benchmarks. Aggregate figures exist; the feeder- and transformer-level attribution needed to act does not.

INPUT100%
BILLED78%
COLLECTED63%
every point of loss is a recoverable line item once attributed
PROBLEM 02INFRASTRUCTURE HEALTH

Under-monitored infrastructure

Transformers and feeders fail without warning. Maintenance is reactive, and capital is allocated on age and judgement rather than measured condition.

no condition dataflaggedcritical
age is a poor predictor of which unit fails next
One measured network, two answers: where the money leaves and which asset fails next.SEE THE DATA FOUNDATION

02 / THE PLATFORM

One platform. Three pillars.

The pillars run in sequence on one data foundation: find the loss, recover it, then stop it from returning.

IFIND IT

Loss Analytics

Separate technical, commercial and collection losses, then localise them to feeder and transformer level with continuous energy-balance analytics.

TECHNICAL11.4%
COMMERCIAL17.8%
COLLECTION15.3%
  • Transformer-level energy balance
  • Loss decomposition by category
  • Anomaly detection on consumption
  • Feeder loss league tables
OUTPUTA ranked list of where energy leaves the network.
IIRECOVER IT

Revenue Assurance

Reconcile consumption, billing and payment. Detect unbilled consumption and tampering, and work each case to a measured recovery.

OPEN$4.1M
IN FIELD$2.2M
RECOVERED$1.3M
  • Risk-scored anomaly queue
  • Evidence-backed case files
  • Investigation workflow tracking
  • Verified recovery measurement
OUTPUTCases closed with recovery confirmed in the billing data.
IIIPREVENT IT

Infrastructure Health

Monitor asset condition continuously, predict failures before they occur, and prioritise capital where measured risk is highest.

HEALTHY1,412
WATCH312
CRITICAL46
  • Continuous condition monitoring
  • Failure prediction windows
  • Condition-based maintenance
  • Benefit-ranked capital plans
OUTPUTA capital plan ordered by avoided loss, not asset age.
Each pillar reads from the same measured network, so a loss found in one is recovered in the next.EXPLORE THE PLATFORM

03 / IN THE PLATFORM

From data to field action.

One chain of custody: a district loss number becomes a ranked worklist, a case file, then a work order. Screens below use sample data.

Losses become cases.

Transformer-level energy balance turns a district loss number into a ranked worklist. Analysts drill from district to feeder to distribution transformer, and every anomaly carries the evidence needed to act.

one number becomes ten addressable sites
ENERGY BALANCE — DRILLSAMPLE DATA
District 0431.2%
FDR-04-1136.8%
DT-023142.0%
DT-019822.4%
FDR-04-0218.9%
District 0727.5%

Cases become recoveries.

Field teams receive evidence-backed case files with risk scores and estimated exposure. Outcomes are tracked to verified closure, so recovered revenue is measured rather than assumed.

recovery is confirmed in the billing data, not claimed
INVESTIGATION — EVIDENCE REVIEWSAMPLE DATA
CASE-2187 · METER BYPASSRISK 91
EXPOSURE$8,420
UNBILLED84,200 kWh
AGE6 days
STAGE
Evidence review · 3 of 5 items collected · field visit gated at 4
Confirmed 64%Inconclusive 22%Not confirmed 14%

Failures become schedules.

Condition-based maintenance replaces calendar cycles. Health scoring and failure prediction put crews on the right transformer before it fails, and capital goes where measured risk is highest.

the work order is ranked by avoided loss
ASSET HEALTH — DETAILSAMPLE DATA
DT-0231 · 500 kVACRITICAL
HEALTH43
LOAD FACTOR VS RATING · 12 WKrating threshold crossed in 4 of last 6 weeks
Predicted failure window14–31 DAYSCREATE PM WORK ORDER

04 / ARCHITECTURE

Integrates with what utilities already run.

No meter replacement programme and no rip-and-replace. AMPERE reads the systems already in place over standard interfaces, and writes back into the tools crews and finance already use.

SOURCE SYSTEMSINTERFACE
Smart metersDLMS/COSEM
DT monitorsMQTT · MODBUS
SCADAIEC 60870-5-104
Billing & CISREST · SQL
Vending platformsREST · CSV
GISWFS · SHP
AMPERE3 LAYERS
L1Ingest & normalise
One asset hierarchy and one time base across systems that disagree today.
L2Energy balance & prediction
Loss decomposition per feeder and transformer, anomaly scoring, failure windows.
L3Case & work-order management
Evidence, stages, outcomes and recovery measured back against billing.
OPERATIONAL ACTIONOWNER
Field case filesInvestigators
PM work ordersMaintenance
Capital plansPlanning
Executive dashboardsManagement
Regulatory reportingCompliance
STANDARDSVENDOR-NEUTRALDLMS/COSEMIEC 60870-5-104MODBUSMQTTROLE-BASED ACCESSAUDIT TRAIL
MODELLED PILOT-SCALE OUTCOMESTargets a 12-month pilot is designed to test, not results claimed.
4–8 PT
ATC&C reduction potential over a pilot district
3–5
field-visit yield on targeted versus untargeted cases
30%+
unplanned transformer outages on monitored assets
12 MO
from pilot start to verified, billing-confirmed results

05 / GOVERNANCE

Built for regulated environments.

Four commitments, each with the mechanism that enforces it. Data ownership is contractual, not a policy statement.

G1

Utility data stays utility property

Contractually, at all times. The utility retains full ownership of its operational data, including anything derived from it.

MECHANISMOwnership and deletion clauses in the master agreement
G2

In-country data residency

Supported where required, including under local data protection law such as Ghana's Data Protection Act, 2012.

MECHANISMOn-premise or in-country cloud deployment option
G3

Role-based access & audit logging

Every view and action is permissioned by role and recorded in an immutable audit log.

MECHANISMAppend-only event log, exportable for regulator review
G4

Independent measurement & verification

Outcomes are verified against agreed baselines rather than reported by the platform alone.

MECHANISMBaseline agreed before deployment, third-party M&V at review

06 / THE COMPANY BEHIND AMPERE

Gridline Partners

AMPERE is built by Gridline Partners, an African investment and technology partner for utilities and operators modernising electricity distribution. The firm builds the platforms that give a network operator control over its own infrastructure, and structures the capital and delivery partnerships that make modernisation programmes bankable and buildable.

Distribution networks carry more load than they were built for, on records that no longer describe them. Gridline works alongside utilities from diagnostic through tranched delivery to independently verified outcomes — with utility data remaining utility property, contractually, at all times.

AT A GLANCE
OFFICE LOCATION
Atlantic Tower, 7th Floor, Airport City, Accra
OPERATING SCOPE
Utilities, regulators and investors across Africa
FOCUS
Energy infrastructure — grids, generation, storage
DELIVERY
Six business lines, one engineering standard
PLATFORMS
AMPERE — distribution intelligence · BASELOAD — utility operations

07 / BRIEFING

See AMPERE on your network's data.

We run structured briefings for utility leadership and sector regulators — a working session on your loss profile, your asset base, and what the platform would show in ninety days.

We reply within two working days. No data access is required to book.
WHAT THE SESSION COVERS · 90 MIN
01Your current loss profile and where the attribution gaps sit.
02A walkthrough of the platform against a district resembling yours.
03What a ninety-day pilot would measure, and how it would be verified.
WHO SHOULD ATTENDCommercial, engineering and planning leads, plus regulatory affairs.
CONTACTGridline Partners Ltd
OFFICEAtlantic Tower, 7th Floor, Airport City, Accra
PHONE+233 50 570 6061
EMAILenquiries@gridlinepartners.com