ArkreenEnergy AI
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An Arkreen solution · AI for distributed energy

Make every green kilowatt-hour count for more.

Arkreen Energy AI gives distributed energy the intelligence to work together — turning energy data into executable strategies, and making their value verifiable.

Start with one site →See a day at a solar + storage site
Solar + storage site · today’s outlookAwaiting approval
Strategy comparison · vs baseline
A · Keep current planBaseline
B · Store at noon, discharge at duskRecommended
C · Sell some, discharge harderOver limit
06:00▸ Morning view · weather / load / market
12:00· Surplus · store vs sell now
17:30· Discharge re-plan · reserve checked
23:59· Day review · actual / plan / baseline
Illustrative UI · rationale, assumptions, constraints and outcomes all traceable
00 — The shift

Clean energy is changing how the world is powered.

Rooftop solar
A rooftopcan become a power plant
Car park / EV charging
A car parkcan become a flexible energy node
Battery storage
A batterycan carry midday sun into the night
Factory / community / home
Factories · communities · homescan produce, consume and trade — all at once

The energy system of the future will be built from countless nodes like these. Scattered across places, they share one challenge: making better choices in a constantly changing environment.

When the sun risesKnown
When clouds cover the panelsForecast
Use, store or sell today’s powerDecide
How hundreds of sites respond togetherCoordinate
Our conviction

As energy generation becomes distributed, decision-making must become distributed too.

01 — The problem

Equipment creates possibilities. Each one has to become a concrete action.

?Storage operators

Will the next charge–discharge cycle earn enough, while keeping degradation and risk in check?

?Solar asset owners

How do you balance generation, self-consumption, storage and export for a better result across the whole site?

?Campuses & charging hubs

How do you meet production, energy and mobility needs while cutting costs and avoiding unnecessary demand peaks?

WeatherPriceLoadAsset statusMarket rules

When all of these shape every decision at once, operations teams need a new way of working: see further ahead, compare more options, and keep a clear record behind every important decision.

02 — The platform

An AI operations and decision platform for distributed energy

For customers, it is a decision workbench built around business goals. Teams can see how each recommendation was produced, what it assumed, which constraints applied, and what it ultimately delivered.

Energy AI WorkbenchSample solar + storage siteToday● Shadow mode
Workflow
✓Connect assets
✓Understand change · forecast
▸Plan · compare strategies
·Approve & execute
·Review results
Asset status
StorageAvailable
SolarOnline
Data completeness1 delayed
Plan B · forecasts & dispatch scheduleSolarPriceChargeDischarge
00:0006:0012:0018:0024:00
Rationale
AssumptionsAfternoon cloud lowers output; evening price peak expected
Constraints
Min. reserveDaily cyclesGrid export limit
BaselineCustomer’s existing dispatch method
Submit for approvalSend back
Asset ownersSee equipment status and available capacity
OperatorsReview price, generation and load forecasts; compare strategies
ManagersSet risk boundaries, approve plans and track outcomes
03 — Value

Three clear kinds of value

01

Run assets better

Find better charge and discharge windows, coordinate generation with consumption, cut unnecessary grid purchases, and put limited equipment capacity to its most valuable use.

Risk boundary
02

Keep every decision within controlled limits

Revenue opportunities are weighed against battery life, reserve levels, equipment power, service commitments and risk appetite. A good plan must make economic sense — and be safe and reliable to execute.

Market movesModel forecastsStrategy choiceRisk taken
03

Make improvement provable

Every plan has a clear baseline. Did gains come from the market, the forecast, the strategy — or from taking more risk? Only when that is clear does AI become a capability worth relying on.

04 — A day on site

Imagine a day at a solar + storage site.

06:00

Set the day’s operating view

The system combines weather, load and market signals into today’s expectations for generation, consumption and dispatch.

Operators can inspect
✓ Weather & cloud✓ Load profile✓ Market price outlook
Site 24h · illustrativeSolarPriceChargeDischarge
00:0006:0012:0018:0024:00

Turning complex energy operations into a decision process that is understandable, controllable and continuously improving.

05 — Capabilities

Many capabilities,
working as one.

Different models can play different roles — and all must pass the same tests. We judge AI by one standard: whether, under clearly defined conditions, it creates operating value customers are willing to pay for.

05
Performance reviewOutcomes test the entire process
04
Approval & executionEvery action stays within its authorisation
03
OptimisationFeasible plans within equipment and business constraints
02
Forecasting modelsAnticipate changes in price, output and demand
01
Trusted data ingestionWhere data came from, when it arrived, whether it’s complete — and whether it was fit for the decision at hand
Battery storage site
Our first focusStorage trading & operations assistant
06 — Starting with storage

A great network should start with one node that proves its value.

Storage has clear decisions and clear measures of revenue and risk. When to charge, when to discharge and how much to hold back can all be compared on the same data, equipment parameters and cost assumptions.

Historical backtestingDone
Virtual battery backtests on public AEMO price data, comparing revenue, drawdown and running cost across forecasting models and fine-tuning approaches.
Forward shadow trialsNext
Run under pre-set rules to test methods on new data.
Customer site pilotsNext
Prove value under real operating conditions.

Backtesting is where validation begins. Production deployment still has to be proven with site data, real execution conditions and ongoing observation.

07 — How we work
Onesite
Onebusiness goal
One mutually agreed set ofacceptance criteria

At every step it’s clear what goes in, what gets validated, and which conditions unlock the next stage.

01Review data & equipment boundaries
Access · none required
02Build a baseline from history
Access · historical data
03Read-only access · shadow modeAI generates plans alongside your current method for side-by-side comparison.
Access · read-only
04Meet the agreed acceptance criteria
Access · mutually confirmed
05Expand access step by step and connect executionHuman approval and fail-safe fallback always stay in place.
Access · controlled execution
08 — Scaling up

Once a single asset proves its value, we extend to wider coordination.

01A battery
02A solar + storage + EV charging site
03Multiple campuses and energy projects
04A portfolio coordinating supply, demand and flexibility

Each expansion requires new data, rules and validation.

09 — Arkreen’s long-term direction

From recording what happened in energy, to understanding what to do next.

Arkreen continues to explore energy data, trusted verification and value connection. Participants of every size, in every region, can more clearly prove their contribution, collaborate, and earn value under the market rules that apply to them.

Explore the Arkreen network →
Verifiable operating outcomesA basis for entitlements and settlement
Value
Intelligent decisionsOrchestrates asset coordination
Energy AI
Trusted meteringProvides the factual foundation
Data

From a single battery
to an energy network that thinks.

A collaborative network backed by real energy assets, connected by trusted data and driven by intelligent decisions. Small assets get professional decision support, and the value of clean energy is understood, optimised and verified across generation, storage, use and trade.

It starts with one concrete question

Is there a better way to run your assets?

Start from a real scenario. Build trust with clear boundaries, prove value with verifiable results — then take what works to more sites, more customers and more markets.

Asset type
One site · one goal · one set of acceptance criteria