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Solar AI Monitoring Platform
Beyond showing numbers — AI that makes you earn more
Conventional monitoring systems only display generation numbers. PV Intelligence goes further: AI detects anomalies, diagnoses causes, recommends actions, and calculates loss amounts. Proven at Ninewatt's own solar plants.
Does your current monitoring system have these issues?
Not just monitoring — your AI operations partner
Not just alerts — it tells you "why output dropped, what to do, and how much you'll lose if you don't act."
Same day, same region, but only one site drops? It's not weather — it's equipment. An independent detection method that doesn't rely on weather data alone.
See all your plants on a map at a glance. Normal/Warning/Critical status identified instantly through color coding and pulse animations.
SMP/REC sell timing, self-consumption rate optimization, curtailment subsidy maximization, panel cleaning ROI analysis — AI suggests concrete ways to increase revenue.
"AI prevented ₩XX million in monthly losses" — verified results from Ninewatt's own solar plants (5–10 sites, ~100kW each), available as documented proof.
Fully automated pipeline from on-site inverters to AI analysis
Our proprietary RTU (LTE Cat.M1) transmits inverter data to the cloud every 5 minutes. Supports major brands including Hyosung, Huawei, and Hyundai via RS-485 Modbus.
Compares capacity-to-output ratios across all sites for the same time window. Sites falling below -20%p from the median are automatically flagged as anomaly candidates.
When an anomaly is detected, AI synthesizes weather data, per-inverter output, and historical patterns to estimate the cause and provide natural language action guidance.
Automatically calculates daily/monthly estimated loss amounts and sends instant alerts via KakaoTalk (with SMS fallback).
Here's how PV Intelligence catches the problems that actually happen in the field.
무슨 일이 생겼나
The other six are running fine, but the Cheongna warehouse site has been at 13% efficiency since morning. It's not the weather.
PV Intelligence가 하는 일
AI flags a likely grid interconnection issue and recommends checking the MCCB. Left alone, that's roughly ₩1.38M lost per month.
무슨 일이 생겼나
Mornings are fine, but from 2 PM onward inverter #2 loses 30% output. The site next door is unaffected.
PV Intelligence가 하는 일
Hourly cross-comparison pinpoints afternoon shading or string contamination as likely causes, and tells you exactly what to check on-site.
무슨 일이 생겼나
Day to day it looks normal, but over the past month average efficiency across all sites has slipped 3%p.
PV Intelligence가 하는 일
Flags that panel cleaning is overdue, and shows that spending ₩150K on cleaning could recover about ₩530K/month in lost revenue.
Beyond protecting generation — maximizing your revenue
Analyzes hourly SMP (System Marginal Price) trends and optimizes generation weight during peak pricing hours.
AI analyzes REC (Renewable Energy Certificate) spot price trends and recommends optimal sell timing.
With curtailment subsidies taking full effect in 2026, AI predicts curtailment likelihood and optimizes self-generation plan submissions to maximize subsidies.
For self-consumption model plants, analyzes hourly generation vs. consumption to find the 70–80% optimal self-consumption rate for maximum economic benefit.
Quantitatively analyzes the cost-vs-recovery impact of maintenance activities like panel cleaning and inverter inspection, prioritizing investments.
Integrated control screen for multi-site operators
Today's total generation, estimated revenue, operating sites, and AI alerts at a glance. Anomalous sites highlighted in red for instant identification.
Mapbox-based dark theme map with color-coded status markers per site. Critical sites draw attention with pulse animations.
Ranks sites by efficiency on the same day in the same region, with AI automatically generating cross-analysis results.
Monthly estimated revenue ranking by site, loss amounts from anomalies, and AI optimization recommendations — all in one view.
Alerts organized by Critical/Warning/Info levels. Each includes AI analysis report, estimated cause, recommended action, and projected loss.
₩1.38M/mo
Monthly loss prevented from a single site anomaly case
10 min
Time from anomaly detection to alert notification
94%
AI anomaly root cause analysis confidence
3.4 days
Panel cleaning investment payback period (ROI)
Operators running 1–10 plants (~100kW each) who want systematic management without dedicated staff.
Building owners looking to optimize rooftop solar self-consumption rates and maximize economics of self-use vs. grid export.
Companies managing multiple clients' plants seeking AI-based preventive maintenance and differentiated reporting.
Operators looking to maximize subsidies under the 2026 curtailment compensation program.
Validated first at Ninewatt's own solar power plants
Ninewatt operates 5–10 of its own solar plant sites (~100kW each). Every PV Intelligence feature is validated at our own plants before being offered to customers.
See how PV Intelligence detects anomalies and calculates loss amounts in a live demo. We'll walk you through with real data from our own plants.