Let’s get into the product!

1. Login

To use Solar AI, start a web browser, go to the Bazefield URL for the application, and type your username and password to log in to the application.


Once logged in, the high-level menu on the left side will display the “Solar AI” main menu group.

Clicking on the “Solar AI” button will expand the menu group and automatically direct to the “Fleet View” page where high level results for all sites will be shown.


To choose a plant from the portfolio, click on the dropdown list on the left end of the dashboard host to display a list of plants, and click one or several plants name.

2. Common UI Features

2.1 Selecting Time Ranges

The values on each page represent a time range selected using the time range selector at the top. Selecting a time range between one day and multiple years is possible. When a time range on one page is selected, it applies to all other pages.

The time range selection allows the selection of standard time ranges, including today, last 7 days, last 30 days, month-to-date (MTD), quarter-to-date (QTD), year-to-date (YTD), and last 12 months. In addition, a custom range is also possible, using the calendar picker.


2.2 Plots and Interactivity

  • All losses can be displayed in different units (kWh, percentage, or currency).
  • Choose units for production values
  • Hover to display details
  • Zoom in for a clearer view of selected regions
  • Use slider bars to adjust the range of the display
  • Slider bars to zoom into the time range in the daily graph
  • Use the controls to zoom in, revert, export the graph to an image file

3. Key Performance Indicators Overview

This section describes Solar AI’s key performance indicators. Read these descriptions to get familiar with the indicators. See the Doc: Glossary for more detailed descriptions of the indicators and definitions of technical terms used in document.

A key performance indicator, or KPI, is a value used to describe the plant’s health or the health of a component of the plant.


3.1 Production Data

Production values represent the actual and expected amount of electricity the plant generates. It appears on the following pages:

  • Site View
  • Loss Breakdown
  • Waterfall


3.2 Energy Losses Data

Losses describe the reductions in production caused by the plant’s design characteristics, weather-related issues, and operation and maintenance. Losses are categorised by cause. Design-related losses are associated with the plant’s design, including module thermal losses, inverter conversion and clipping losses, and the nominal plant capacity loss. String losses affect the DC inputs of the inverters and can be caused by malfunctioning photovoltaic modules or problems with DC fuses and connections. Weather-related losses are, among others, caused by rain, dust, and snowfall that cause soiling and snow cover of the photovoltaic modules. Downtime losses are caused by plant outages, which may be due to inverters going offline, grid or substation events, planned maintenance, etc. 

Outages at the inverter input that cause plant outages are reported separately as DC string losses. 

Losses appear on these pages:

  • Site View
  • Loss Breakdown
  • Metrics
  • Soiling
  • Shading
  • Inverter Efficiency
  • Device Details (Inverter, Sensors, etc.)

3.3 Data Availability

Data availability indicators give information about the health of sensors and data collection equipment in the plant and help to identify problems with the data, such as missing or invalid values.

4. Data Requirements

Below is a list of Solar AI data requirements. The analytics engine requires a minimum of one month of operating data to start the processing. Some functions require even longer historical data.

  • Inverter efficiency: requires at least three months of historical data
  • Degradation analysis: requires at least two years of historical data
  • Other analyses: require at least one month of historical data