This feature is available only to organizations with a Gold license.

Galooli Analyst Dashboard provides better understanding of your data with AI-powered analysis delivered in a simple, straightforward manner.

The dashboard will display all possible insights, but only the insights relevant to the site will display the relevant data.

Due to the fact that this dashboard contains many items and cards, it has been divided into several "sub-dashboards":

• Overview

• Solar Insights

• Fuel Insights

• Generator Insights

• Battery Insights

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This dashboard may be used on more than one unit or site. Different information will be displayed at the unit level and at the multi-unit level.

If you wish to switch between the unit level and the multi-unit level, simply peak the relevant area of the organization tree, and the data will be updated automatically.

In contrast, if you wish to switch from the multi-unit view to the unit view, you may select the unit directly from the dashboard rather than searching for it in the organizational tree.

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Unit Level Dashboard

Overview Sub-Dashboard

The Overview sub-dashboard focuses on a single unit and provides a detailed summary of the unit's current performance and issues.

It includes key metrics such as the unit's active events, data availability, and average daily energy consumption. The dashboard tracks event trends, displaying the frequency and types of issues detected by AI, such as refuel needs or battery anomalies. Additionally, it offers a breakdown of the site's energy mix, showing contributions from solar, generator, grid, and battery sources over time. This provides a comprehensive view of the unit's overall energy usage and operational health.

Solar Insights Sub-Dashboard

The Solar Insights sub-dashboard for a single unit provides a clear and structured overview of a solar energy system's performance, designed to help users monitor and optimize operations. It highlights key performance trends, such as daily energy production, allowing users to compare actual production against expected values. The dashboard also tracks system efficiency, pinpointing any periods of underperformance or potential issues with faulty components.

The calculation of underperformance is based on a comparison between the solar output expected in accordance with the weather conditions on that day (solar total energy expected), and the actual solar output.

Fuel Insights Sub-Dashboard

The Fuel Insights sub-dashboard for a single unit provides a detailed analysis of fuel consumption and data quality.

It includes key metrics such as the average fuel consumption rate, total fuel consumption, and data quality score. The dashboard identifies potential issues with fuel data, such as insufficient or irregular sensor readings, and provides recommendations for site assessment and sensor replacement. It highlights alerts for low fuel data quality, offering insights into fuel usage patterns and overall data reliability. This dashboard ensures accurate monitoring and helps maintain optimal fuel management and generator performance.

Generator Insights Sub-Dashboard

The Generator Insights sub-dashboard for a single unit provides a detailed analysis of the generator's performance and load efficiency.

It highlights key metrics such as total engine hours, generator operating load, and redundant engine usage. The dashboard tracks generator performance trends over time, including how efficiently the generator is operating within recommended load ranges. Alerts for inefficient generator utilization and load patterns are displayed, alongside detailed descriptions of potential issues and suggested actions. Overall, the dashboard offers insights to optimize fuel consumption, prevent unnecessary generator operation, and enhance generator efficiency in hybrid sites.

Battery Insights Sub-Dashboard

The Battery Insights sub dashboard for a single unit provides a focused analysis of the battery's performance and efficiency.

It includes key metrics such as the total battery discharge and charge energy, battery usage time, and underutilization alerts. The dashboard tracks battery usage trends over time, showing how much energy has been discharged and how long the battery was in use. Issues such as inefficient battery utilization are highlighted, with specific insights into how the generator and battery performed together, and recommendations are provided for resolving any inefficiencies. Overall, it offers a detailed view of the battery's health and performance in the context of a hybrid site.

Check out the following link for more information about the different cards - AI-Based Reports

Multi-Unit Level Dashboard

Overview Sub-Dashboard

The Overview sub-dashboard provides an overview of the system's current status by showing the total number of active events and affected units. It tracks event trends over time and highlights the most impacted units, helping prioritize attention. A breakdown of event distribution across units and detailed information on critical issues make it easy to identify areas needing immediate action. Overall, it enables efficient monitoring and quick decision-making.

Solar Insights Sub-Dashboard

The Solar Insights sub-dashboard provides a broader view of solar energy performance across multiple units. It consolidates essential metrics to provide an overview of solar production across a range of sites, making it easier to identify trends, potential underperformance, and overall system efficiency.

This dashboard focuses on providing insights across different units, tracking the energy production and identifying how many units may be experiencing underperformance. It also allows users to compare the capacity distribution of various solar arrays, helping in better resource allocation and system optimization.

Furthermore, the dashboard visualizes performance trends over time, helping users detect patterns and make informed decisions on system improvements. By displaying average energy output and solar uptime, operators can quickly assess the overall effectiveness of their solar installations across multiple sites, ensuring that the entire system is functioning as expected.

The calculation of underperformance is based on a comparison between the solar output expected in accordance with the weather conditions on that day (solar total energy expected), and the actual solar output.

Fuel Insights Sub-Dashboard

The Fuel Insights sub-dashboard provides a focused analysis of fuel-related events and consumption across the system. It tracks the total number of active fuel-related events and identifies how many units are affected. Additionally, it monitors the total fuel consumption, offering insights into fuel usage efficiency.

The dashboard also provides a breakdown of fuel events by duration, distinguishing between newly activated events, long-standing issues, and units with no fuel-related problems. A trend analysis tracks the occurrence of fuel-related events over time, highlighting issues like urgent refueling needs or low fuel data quality.

Lastly, specific units with critical fuel issues are spotlighted, along with descriptions of the problems they are facing, making it easier to prioritize actions related to fuel management. Overall, this dashboard helps optimize fuel usage and address fuel-related operational challenges efficiently.

Generator Insights Sub-Dashboard

The Generator Insights sub-dashboard focuses on monitoring and analyzing generator performance across the system. It provides a clear count of the total active generator-related events and the number of units affected by these events. Additionally, it tracks the total engine hours, which helps in understanding the usage and workload of the generators.

The dashboard offers a detailed view of the duration of generator events across units, categorizing them by how recently they were activated—from today to those active for more than a week. This segmentation aids in assessing the urgency and persistence of generator issues.

It also features a trend analysis of generator-related events over a defined period, highlighting fluctuations and identifying specific times with peak issues, such as inefficient generator load or maintenance needs.

Spotlighted units are specifically listed with detailed event descriptions, helping to prioritize which generators may require immediate attention or intervention. This dashboard serves as a tool for proactive maintenance scheduling and operational efficiency improvement.

Battery Insights Sub-Dashboard

The Battery Insights sub-dashboard provides an overview of battery-related performance and events. It highlights the number of ongoing events and the units impacted by battery issues, giving insights into battery health and usage.

The dashboard tracks metrics like the percentage of average battery usage per day and presents trends for battery-related issues over time. Additionally, it categorizes events based on their duration and provides details about specific units experiencing battery issues.