Our innovative Data Science tools enable efficient data analysis and management

Data Science, advanced analytics, and digital tools

In the framework of our firm commitment to R&D and innovation, and in line with our mission of providing the best service to our clients, we have developed a series of innovative Data Science and Machine Learning tools that allow to efficiently analyze and manage the data received from our clients’ solar PV projects.

There is an increasing amount of data available from PV assets and data science, advanced analytics tools are essential to elaborate a correct interpretation of this information. The input drawn from this analyses constitute a powerful strategic tool to guide our clients’ decision-making processes and maximize their return on investment.

A-PAA provides unique insight using machine learning and other Data Science techniques to supports our consultants’ analyses.

Our tools

Advanced Performance Analytics Application (A-PAA)

Our Advanced Performance Analytics Application (A-PAA) tool enables our technical experts to perform a more detailed and faster analysis of the long-term performance of PV assets.

A-PAA provides unique insight using Machine Learning and Data Science techniques and supports our consultants’ analysis in order to detect underperformance in order to protect the present and future value of the assets with:

  • Identification of recoverable unavailability and systemic underperformance
  • Detection of periods of Point of Interconnection (POI)/ Point of Common Coupling (PCC)-level and inverter-level downtime and quantify the lost energy
  • Calculation of long-term average annual degradation
  • Calculation of a site-specific daily soiling rate
  • Calculation of realistic soiling losses based on the production data of the asset
  • Calculation of actual AC losses between the inverter and Point of Interconnection (POI)/ Point of Common Coupling (PCC)
  • Interactive visualizations that can show performance from a high-level annual view down to the highest granularity available
  • Direct comparisons to P50, and Weather-Adjusted P50 from both an energy and performance ratio perspective
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A-PAA dashboard

A-PAA dashboard

Plot describing the outlier and downtime entries detected in the production data of a meter.

Plot describing the outlier and downtime entries detected in the production data of a meter.


Plot of the dry periods detected in the period and the daily soiling rates calculated for each of them.


Plot of the dry periods detected in the period and the daily soiling rates calculated for each of them.

The Enertis Soiling and Snow Application (TESSA)

This web-based soiling calculator follows the Kimber and Townsend models to accurately estimate the annual loss in power due to dirt, snow, and/or other particle accumulation on the surface of PV modules.

Being able to accurately estimate a PV project’s soiling rate allows for practical decision making – like when and how often to schedule cleanings – to maximize the investment rate of return (IRR).

TESSA’s features include:

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TESSA allows the user to easily compare different soiling rate and losses calculations (both dirt and snow) for different locations.

TESSA allows the user to easily compare different soiling rate and losses calculations (both dirt and snow) for different locations.

Values and plots showing the soiling results (both dirt and snow) calculated by the TESSA tool

Values and plots showing the soiling results (both dirt and snow) calculated by the TESSA tool