Real-Time IoT Integration
Continuously ingest data from inverters, meters, sensors, and SCADA systems into a unified platform.
Solar Plant Performance Monitoring Dashboards
Real-time solar performance dashboards for higher efficiency, faster fault detection, and portfolio-level visibility.
Trusted by clients worldwide
Context
Solar plants continuously generate high-frequency data from inverters, meters, weather stations, strings, and other field devices. This data holds the key to understanding plant performance, but without structured monitoring, it remains underutilised. Operators often rely on fragmented tools or delayed reports, making it difficult to act on issues in time. A well-designed monitoring dashboard converts raw IoT data into meaningful metrics, helping teams track performance, detect anomalies early, and manage multiple plants from a single interface.
Who this is for
We work best with teams who treat software as an operating system for the business, not a one-off project.
Good fit
- Solar plant operators and asset owners
- O&M service providers managing multiple plants
- Renewable energy portfolio managers
- Investors requiring performance transparency
Not a fit
- Small residential solar installations
- Plants without IoT or SCADA data access
- Projects not requiring continuous monitoring
- Operations without centralised performance tracking
The operating reality
Energy losses increase when solar data is not analysed in real time.
Many operators do not have a consolidated view of plant performance across devices, zones, and locations. Faults at the string or inverter level often go unnoticed until generation drops significantly. Environmental factors such as irradiance changes or panel degradation are not analysed in context, leading to missed optimisation opportunities. Manual monitoring and scattered dashboards slow down issue detection and response. Over time, these inefficiencies reduce energy output, increase operational costs, and impact overall plant returns.
How this is usually solved (and why it breaks)
Common approaches
Where it falls short
Common approaches
- Manual tracking of generation data in spreadsheets
- Separate dashboards for each device or plant
- Reactive maintenance after noticeable performance drops
- Limited analytics for cross-site comparison
Where it falls short
- Late identification of faults and inefficiencies
- Lower overall energy generation
- Increased time to respond to operational issues
- Limited decision-making visibility for stakeholders
Does this match your constraints?
Talk to us before you commit to another generic build.
Core capabilities we implement
Building blocks that keep delivery predictable under real operating load.
Performance KPI Dashboards
Monitor key metrics such as PR, CUF, irradiance, energy yield, and inverter efficiency.
String and Panel Diagnostics
Visualise performance at string level using heatmaps to quickly identify faults and underperforming zones.
Automated Alerts and Triggers
Receive real-time notifications when performance deviates from expected thresholds.
Multi-Plant Portfolio View
Track and compare performance across multiple plants from a single dashboard.
Forecasting and Analytics
Analyse trends and predict expected generation based on weather and historical data.
How we approach delivery
Step 1
Integrate and normalise IoT data from multiple sources
Step 2
Define clear and actionable performance KPIs
Step 3
Implement rule-based alerts and anomaly detection
Step 4
Design dashboards for multi-site monitoring and quick decision-making
Engineering standards at PySquad
We build solar monitoring systems that prioritise real-time visibility and operational usability. Data from inverters, SCADA systems, and sensors is integrated into a central platform with reliable ingestion and processing pipelines. We define and compute key performance indicators such as PR, CUF, and energy yield in a consistent format. Dashboards are designed for quick interpretation, highlighting deviations, trends, and faults without overwhelming operators. The system scales from single plants to large
Expected outcomes
What teams plan for when scope, integrations, and release are handled as one program.
Improved energy generation through timely interventions
Faster detection and resolution of faults
Higher efficiency in O&M operations
Clear and consistent performance visibility across plants
Frequently asked questions
Straight answers procurement and engineering teams ask before a build kicks off.
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
What is PySquad?
A software engineering team for complex operations. We build tools that fit how you work, not software that forces you to change everything overnight.
What do you get on a project like this?
Discovery, build, integrations, testing, release, and follow-up once real users are in the product. You talk to engineers and leads who own the outcome.
Monitor smarter. Produce more.
Share scope, constraints, and timelines. We respond with a clear delivery approach, not a generic pitch deck.
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