Know what your system will deliver tomorrow — and what every kilowatt-hour is worth on the market. Yield forecasting, dispatch planning for storage and grid connection, revenue calculation against the day-ahead market. Available as a module in the PV portal, bookable individually for each system.
The plant is producing. But at the right price?
The Market Problem
Day-ahead electricity prices fluctuate by a factor of two to three throughout the day — on sunny Sundays they can drop below zero. Those who feed in during these hours give away revenue; those with a battery but charge it on fixed schedules use only half its potential.
From Hindsight to Foresight
Without knowing what the plant will deliver tomorrow, you can neither plan nor market. Most monitoring systems show what happened — measurements, yield curves, annual reports. This module shows what's coming: the forecast for the next 72 hours and a concrete dispatch plan for every battery and every grid connection. And what to do to ensure the revenue adds up.
Three answers, every morning.
The module answers three core questions daily — automatically, based on real site data and current market prices.
How much will the plant deliver?
A yield forecast for the next 72 hours — calculated from on-site weather data and the measured behavior of the actual plant, not from a nameplate rating. The model learns from SCADA data and becomes more accurate every week. Shading, module temperature, and grid connection limits are all factored in.
When does feeding in pay off?
A dispatch plan for every hour: charge the battery when prices are low, discharge when they're high, curtail when prices go negative — all within grid connection limits. The recommendation appears as plain text on the card: "Charge battery 12–1 PM, discharge 6–7 PM."
What does that mean in dollars?
The day's revenue with and without a dispatch plan, calculated using actual Day-Ahead prices for the Austrian bidding zone — and the plant's specific compensation model: spot price, market premium under the EAG, or PPA with discount.
Not promised — calculated.
The module recalculates every past day: what the dispatch plan would have yielded versus what was actually fed into the grid — using the prices that applied on that day and the measured values the system delivered. The result appears as additional revenue in euros and euros per megawatt-hour on the card, day by day, with an annualized projection.
In a pilot operation on a 1 MW system with an 800 kWh battery, the calculated additional revenue over two weeks was approximately twelve percent compared to uncontrolled feed-in.¹ What your own system delivers will be shown by the back-calculation after the first few weeks of real data.
¹ Simulated test system, day-ahead prices August 2026. Not a customer result.
Additional Revenue in Test
compared to uncontrolled feed-in over two weeks
Forecast Horizon
hourly outlook for battery storage and grid connection
Test System
with 800 kWh battery, real measured data, and market prices
Is the system still performing as well as it did on day one?
The Performance Index: System vs. Expectation
The yield model generates a second value as a byproduct: the "System vs. Expectation" index. Every day, it compares the measured output with what the system should have delivered given the actual weather conditions — relative to a reference period.
Inverter Failure
Shows up as a clear dip in the daily curve — visible immediately, not just in the annual review.
Failed String
Appears as a persistent step down in the index — a systematic shortfall that cannot be attributed to weather.
Module Soiling
Recognizable as a slow decline in the index over days and weeks — detected in time before the next service cycle.
No new hardware. No new software.
What the module needs
The module reads the measurement data that's already there — from the inverter portal, the SCADA export, or via interface. Plus the system's master data: location, orientation, tilt, grid connection limit, storage, and compensation model. Weather and market prices are fetched automatically.
Integration with the maintenance module
Fault reports come in from the maintenance section of the PV portal: an inverter that's offline is a known outage in the forecast — not a puzzling underperformance. The link between operational data and market optimization is seamless.
Inverter Portal
Direct connection to existing portals via interface
SCADA Export
CSV or API import from existing systems
Weather & Market
Automatic retrieval — no manual effort required
Fault Data
Integration from the PV maintenance module
Who is this module for?
The module is designed for everyone who wants to not just operate PV systems, but actively position them in the market — with or without storage, individually or as a portfolio.
System Operators
For systems starting at a few hundred kilowatts in direct marketing or on the path toward it. The module shows daily how much more the system could earn with optimized dispatch.
Direct Marketers
For portfolios that want to know which system delivers the most on the market. Comparable metrics, a unified data foundation, clear rankings.
Energy Communities
For energy communities that need to plan and coordinate their generation. Two languages, local time, auto-refresh — readable on a phone.
Four weeks of trial operation with your own system.
We set up the module with your system's data — location, orientation, storage, compensation model. After four weeks, the back-calculation is ready: what the dispatch plan would have delivered on your days, at your prices, with your meter readings. Then you decide.
Setup
Master data and data access — no new system, no new hardware
Four Weeks of Operation
Daily forecast, dispatch plan, and revenue calculation with real data
Back-Calculation
Clear result: additional revenue in dollars, day by day, extrapolated to the full year
Your Decision
Continue or not — based on real numbers from your system
Identify hidden yield losses in your PV portfolio?
Start with a pilot project based on your existing SCADA, inverter, or O&M data. Jaroona analyzes your plant's optimization potential and shows which deviations are truly relevant from a financial standpoint.
Use existing data
No system change, no new hardware — we work with your existing SCADA and inverter data.
Fast start
The pilot project quickly reveals where financially relevant deviations exist in your plant.
Clear results
You receive a prioritized overview of optimization opportunities — concrete, understandable, and action-oriented.
Your Partner for AI & Machine Learning
Tailored AI solutions for businesses — from strategic consulting to successful implementation.
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PV Forecasting & Trading