Consumption overview
Available measurements are organized into views that show consumption within the selected meter hierarchy.
Expertise · Energy & Power Monitoring
Confido engineers energy management systems that bring electrical and building energy data into a structured monitoring environment.
Our scope can include metering architecture, power monitoring, data collection, dashboards, analytics, alarms, reporting and integration with building-management and operational systems.
Energy monitoring architecture
An energy monitoring architecture defines where measurements originate, how meters relate to one another and how information reaches the monitoring platform. The objective is structured visibility—not an assumption that monitoring alone changes consumption.
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Incoming power, feeders and distribution boards establish the upper levels of the monitoring hierarchy.
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Selected plant, equipment and other significant loads can be monitored according to the required system visibility.
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Sub-meters organize available data by zone, tenant, system or load where the electrical architecture permits.
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Utility information may be incorporated where an appropriate interface and project requirement are available.
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Meters are structured into a clear hierarchy so totals and subordinate measurements can be interpreted in context.
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Communication networks and collection services bring compatible measurements into the monitoring environment.
Electrical metering & power monitoring
Meter selection and monitored parameters depend on the electrical system, available interfaces and project requirements. Supported measurements vary by installed equipment and configuration; no measurement-accuracy claim is implied across all systems.
Technology context

Confido works with Janitza energy and power-monitoring technology. Compatible meters can be integrated with GridVis to organize available measurements into dashboards, trends, alarms, threshold monitoring and reporting where applicable.
Dashboards & visualization
Visualization connects individual measurements to the meter hierarchy, operating context and questions that engineering or facility teams need to investigate.
Available measurements are organized into views that show consumption within the selected meter hierarchy.
Historical values and demand views provide operational context across selected periods and loads.
Periods, zones or loads can be compared where consistent source data and system configuration are available.
Dashboards can combine meter status, alarms, thresholds and accessible electrical information.
Analytics & reporting
Analytics and reporting can help teams investigate patterns, peak demand and abnormal conditions where suitable source data is available. These tools support analysis; they do not constitute an automatic or guaranteed energy-saving outcome.
BMS integration
An EMS can operate as a dedicated monitoring layer and can also exchange information with BMS, HVAC controls, electrical systems, lighting, utility metering and other compatible building systems. Interfaces and protocols are selected project by project according to installed equipment and supported integration methods.
Remote monitoring
Remote dashboards and multi-site views may be provided where the platform, network architecture, access policy and project scope permit. Remote access supports visibility and review; it does not imply a continuously managed monitoring service.
Energy data & analytics
Energy data can support trend analysis, anomaly identification and future analytics integration when the source measurements, context and data quality are suitable. Confido positions analytics as an engineering aid—not autonomous optimization or a guaranteed savings mechanism.
Consistent point naming, hierarchy and context create a more useful foundation for analysis.
Historical measurements can be reviewed alongside operating periods and available system information.
Data review can help surface unusual conditions for further engineering or operational investigation.
Documented data structures and supported interfaces can provide a basis for future analytics capabilities.
Energy monitoring requirements