Regain control of your solar assets

Maximize your energy ouput with Canopy, the AI product that helps you improve machinery performance

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CONTINUOUS HEALTH MONITORING

Canopy monitors the health of your assets most crucial components purely from SCADA data

Assets deepdive

With Canopy, users can easily go from a farm level overview to a component and individual sensor level to get more context. It has never been this easy to get a grip over your farm.

Powerful alarms

The alarms are intuitive since the user can see when the sensors are deviating from the expected predicted values. They are context-aware since they are based on Canopy’s AI models and users have component level alarms.

State-of-the-art AI models

Canopy uses the latest AI models specially tailored for multi-sensor time series data. The models learn directly from the sensor measurements with no human bias. Fully data-driven modelling.

KPIs

Monitor relevant KPIs such as performance ratio and efficiency on several levels such as inverter and grid level. A holistic monitoring is the first step towards detecting assets with abnormal performance.

Track your assets health to reduce downtime

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THE INTELLIGENCE PLATFORM

Monitor your asset's performance

Canopy is Jungle’s intelligence platform for renewables assets. It monitors the performance and health of your assets and helps you prioritise on where to get the highest yield from your time. With Canopy, you can deepdive into the details of the performance and health, and figure out where exactly the issues are that prevent your turbines from running optimally.

Continuous health monitoring
Measure and increase performance
Investigate and deepdive

Analyze user analytics

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MEASURE & INCREASE PERFORMANCE

1

Soiling

The dust and dirt that accumulates on PV panels reduces the amount of sunlight that actually reaches the cell to produce power. Detecting soiling and quantifying the lost performance is key to finding optimal cleaning schedules.

2

Shading

Nearby objects or the panels themselves can cause shadows on the panels which in turn reduce the amount of light hitting the cells. Detecting and quantifying these complex underperformance patterns is the first step towards taking action to minimize their negative impact.

3

Degradation

PV panels naturally suffer an efficiency decrease over the years. Detecting and quantifying this degradation is essential towards understanding the general performance of the solar farm.

DOWNTIMES & DEGRADATION

Automatically detect downtimes and quantify associated lost production by taking as reference the normal behavior model predictions.
Automatically detect and quantify degradation in PV panels characterized by consistent reduced efficiency that increases over the years.

Analyze user analytics

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ELECTRICAL ANOMALIES

Detect abnormally high or low currents and voltages. The case below shows an under voltage caused by an unstable grid that in turn forced the current to increase which can have a damaging effect on the assets.

Analyze user analytics

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