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Home Energy Intelligence

Plan, assure, and optimise connected homes without losing control, explainability, or programme visibility.

Home energy programme coordinating whole-home energy assets
Connected homes are becoming harder to manage, not easier. More devices, more tariffs, more flexibility programmes, and more scrutiny. Teams need one decision layer that can explain what the system is doing, support service teams, and scale without becoming a black box.

Core modules

Start with the module that fits today, then add planning, assurance, optimisation, and flexibility capabilities as the deployment grows.

Home Planning
Core module

Home Planning

Model the home as a system, compare scenarios, and understand expected performance before action is taken.

Programme Assurance
Core module

Programme Assurance

Verify connected-home performance, support service teams, and keep an explainable evidence trail across the programme.

View module
Flex Intelligence
Core module

Flex Intelligence

Understand which homes can provide flexibility safely, what value they deliver, and how to scale without losing trust.

Evidence & Reporting
Core module

Evidence & Reporting

Package the evidence needed for reporting, governance, customer support, and programme review without rebuilding it manually.

Plan, assure, and optimise

One programme view for modelling, support, optimisation, and governed decision-making.

Home with digital twin simulation overlay

Plan

Model the home as a system, understand expected performance, and surface risk before it turns into customer or operational cost.

Assure

Explain decisions, support service teams, and verify that homes and programmes are performing as intended.

Optimise

Improve cost, comfort, carbon, and flexibility once the governance layer is in place and the trade-offs are visible.

Questions programme teams should be able to answer

The operational questions connected-home teams need answered with confidence.

Five questions answered with evidence
01

Is this home’s energy system performing as designed?

→ System modelling with prediction vs actual

The digital twin models the whole home — heat pump, battery, solar PV, hot water cylinder — as a single coordinated system. When performance drifts from prediction, you see the gap and the contributing factors immediately.

02

Are we optimising across cost, comfort, carbon, and revenue — or just one?

→ Multi-objective trade-off intelligence

Most platforms optimise for a single objective. Aeterno helps teams balance billing, energy cost, comfort, carbon intensity, and flexibility revenue simultaneously — with visible trade-offs, not hidden compromises.

03

Can we explain every automated decision to a regulator?

→ Full governed decision trail

Every steering action — when to charge, discharge, heat, or export — carries an evidence pack: what data drove it, what model was used, what alternatives were considered, and what policy bounds applied.

04

What flexibility value is each home delivering to the grid?

→ DSR revenue quantification per home

See exactly what each home earned from grid services this month. Broken down by asset, by programme, by time period. Not aggregated — per-home, per-decision.

05

How do we scale from 20 homes to 200,000 without losing visibility?

→ Fleet-level intelligence with home-level drill-down

Fleet dashboards for portfolio-wide performance. But every metric drills down to the individual home, the individual decision, the individual evidence pack. Scale without opacity.

How it works

Five stages from connection to programme learning.

01

Connect

Connect to each home’s energy assets and establish the data, controls, and consent needed to operate with confidence.

02

Model

Build a whole-home model so teams can understand expected performance, system interactions, and where drift is beginning to appear.

03

Assure

Verify that the programme is behaving as intended, explain decisions, and support service teams with evidence rather than guesswork.

04

Optimise

Balance cost, comfort, carbon, and flexibility objectives with clear policy bounds and visible trade-offs.

05

Learn

Feed outcomes back into the programme so predictions improve, strategies refine, and fleet-wide patterns become operational knowledge.

What changes by function

How different teams benefit when the same intelligence supports the programme.

Head of Digital / Innovation

Head of Digital / Innovation

Fewer vendor layersFaster time to scaleGovernance built in

A decision layer that works alongside Kraken or Kaluza — not instead of it. Reduce multi-vendor complexity and add auditability without replacing your retail platform.

Head of Flexibility / VPP

Head of Flexibility / VPP

Per-home revenue visibilityMulti-market accessAsset-level attribution

See what flexibility value every home is delivering, broken down by asset, programme, and time period. Stack revenue across wholesale, balancing, and DNO services.

Regulatory / Compliance Director

Regulatory / Compliance Director

Ofgem-ready audit trailDecision explainabilityPolicy-bound automation

An audit trail you can show a regulator. Every automated decision explainable, every policy bound documented, every override logged.

Social Housing Asset Manager

Social Housing Asset Manager

Fleet-level visibilityTenant bill savingsRetrofit verification

Portfolio-wide performance across thousands of homes. Verify that retrofitted systems are delivering the savings promised to tenants and funders.

Installer / Field Engineer

Installer / Field Engineer

Commissioning verificationPerformance benchmarksEvidence packs

Verify the system is performing as designed at commissioning. Benchmark against predicted performance. Evidence packs travel with the installation.

FAQ

Start with one module

Most teams start with Home Planning, Programme Assurance, or Flex Intelligence, then add more modules as the programme grows.

Two pilot pathways: System Performance and Flexibility Revenue