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Solar Plant Performance Monitoring Dashboards

Build real-time solar plant performance monitoring dashboards with IoT, Python, and analytics. PySquad helps operators track output, detect faults, and optimise generation.

See How We Build for Complex Businesses

Solar plants generate massive amounts of operational and performance data. Inverters, weather sensors, meters, strings, and combiner boxes constantly produce readings that must be analysed to ensure maximum output. Without an intelligent monitoring system, operators face inefficiencies, undetected faults, and energy losses.

PySquad builds advanced solar performance monitoring dashboards that consolidate IoT data, visualise plant KPIs, detect anomalies, and help operators make fast decisions. Our dashboards are designed for clarity, real-time insights, and scalability across multiple plants.


Problem Businesses Face

  • No unified view of solar plant performance across devices.

  • Slow or manual detection of string faults or inverter issues.

  • Difficulty identifying performance loss due to weather or equipment.

  • Lack of real-time alerts for critical errors.

  • Limited visibility for multi-site solar operators.


Our Solution

PySquad develops dashboards that integrate solar plant IoT data, analyse performance patterns, and provide operator-friendly insights.

Our solution includes:

  • Real-time IoT ingestion from inverters, meters, sensors, and data loggers.

  • Performance KPIs such as PR, CUF, irradiance, energy yield, and inverter status.

  • Heatmaps for string-level or panel-level diagnostics.

  • Alerts for abnormal behaviour, underperformance, or equipment failure.

  • Multi-plant views for centralised operation centres.

  • Forecasting models for expected energy generation.


Key Features

  • Real-time SCADA/IoT integration.

  • PR, CUF, and energy yield dashboards.

  • Panel/string-level fault visualisation.

  • Daily, monthly, and seasonal performance insights.

  • Automated alerts and maintenance triggers.

  • Map-based visualisation for multi-plant operators.

  • Custom thresholds and rule-based anomaly detection.

  • API integration with ERP, O&M tools, and reporting systems.


Benefits

  • Higher plant efficiency and reduced energy loss.

  • Early detection of faults and performance issues.

  • Improved O&M team productivity.

  • Transparent insights for investors and stakeholders.

  • Scalable dashboards for growing solar portfolios.


Why Choose PySquad

  • Deep experience with IoT, renewable monitoring, and analytics.

  • Human-first dashboards for boots-on-ground and management users.

  • Ability to handle utility-scale solar data volumes.

  • Customisation for your plant’s unique equipment and layout.

  • End-to-end development from integration to deployment.


Call to Action

  • Want real-time performance monitoring for your solar plants?

  • Need string-level fault detection and actionable insights?

  • Looking for scalable dashboards for multiple sites?

Partner with PySquad to build intelligent solar monitoring dashboards.


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Frequently asked questions

Yes. We support Modbus, MQTT, APIs, and custom IoT gateways.

Yes. We provide a centralised multi-site view.

Yes. We build AI models for short-term and long-term forecasts.

Yes. All dashboards are responsive and mobile-friendly.

Absolutely. Every metric and alert is configurable to your needs.

About PySquad

PySquad works with businesses that have outgrown simple tools. We design and build digital operations systems for marketplace, marina, logistics, aviation, ERP-driven, and regulated environments where clarity, control, and long-term stability matter.
Our focus is simple: make complex operations easier to manage, more reliable to run, and strong enough to scale.

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