Software development
Custom models and tools
We help you build exactly the tool you need!
For example:- Automate manual design or optimization workflows
- Implement custom loss estimation logic according to your specifications
- Turn a research paper into an executable and reusable model
All developments are built on the PVRADAR modeling framework, so you retain full control over models, assumptions, and inputs. The complete source code is delivered to you, allowing you to maintain and further develop the solution independently.
Data integration
We make all your data available in a single line of code.
For example:- Unified access to internal SCADA data and project meta-data
- Integration of third-party APIs and public databases
- Structured access to cleaned and quality-filtered data from resource assessment and measurement campaigns
The goal is to access all data through the same interface, with standardized units, time zones, and temporal resolution, so it can directly be used in any model. All components can be hosted locally, so no internal data needs to leave your system.
Web-Apps, APIs and interfaces
We help you share your internal knowledge across your entire organization.
For example:- Turn modeling and design optimization scripts into API endpoints for internal integration
- Build user-friendly web applications following your workflow and UI guidelines
For organizations that want to make models accessible beyond Python users, we develop web apps, APIs, and internal interfaces around PVRADAR workflows. This includes workflow design, definition of required inputs and outputs, and implementation of secure solutions that can be hosted within your infrastructure.
Expert consulting
Model validation & benchmarking
We help you understand how reliable your models and data really are.
For example:- Compare different soiling, snow or other loss models under identical assumptions
- Benchmark meteorological datasets against on-site measurements
- Quantify model sensitivity to key parameters and inputs
The objective is to establish clear internal standards and make modeling assumptions transparent and defensible for development and operational decisions.
Measurement data analysis
We help you extract actionable insights from your measurement data.
For example:- Under-performance and Root Cause Analysis (RCA) based on your SCADA data
- Clean and quality-filter meteorological station data
- Process soiling measurement campaigns to calculate daily soiling loss factors
The result is a structured and reproducible dataset that can be used for validation, parameter optimization, and long-term performance analysis.
Cleaning strategy optimization
We help you determine when cleaning actually creates value.
For example:- Evaluate different cleaning schedules and providers for single sites or portfolios
- Tools and script to automate cleaning optimization for both project development and asset operation
The outcome is a transparent and economically grounded cleaning strategy that can be reproduced and further refined within the PVRADAR framework.
