Stark ID  by Stark Software International Ltd

Model number: Stark ID

Features

Technology

Energy Monitoring

Subtechnology

Automatic Monitoring and Targeting Sub-metering Systems

Date added to ETL

15 January 2024

Product Category

aM&T sub-metering software

Does the software have some means of automatically capturing, retrieving & storing energy metering data electronically?

Yes

Does the software enable the analysis of energy metering data with reference to factors that influence energy use by means of visualising energy performance data?

Yes

Is the software able to present the user/consumer with collected data via graph or data table provided as both `on-line` visualisation or system extraction process to enable results to be used outside the system or transferred to alternative software; the data itself may be configurable for single meter or aggregation of meters where appropriate?

Yes

Is the software able to be interoperable by using published communication protocols?

Yes

Are the components (hardware and software) interoperable?

Yes

Is the aM&T sub-metering software able to automatically capture data from meters or sensors at regular intervals in order to provide energy performance indicators?

Yes

Is it able to store and process meter readings made on a half hourly basis i.e twice an hour (as a minimum)?

Yes

Is it able to automatically identify and report data collection failures, missing metering data and the failure of communications with meters, transducers, and any other system components?

Yes

Is it able to present energy consumption data in graphical reporting formats (for example, histograms, line plots, etc.), and in user selectable time intervals / divisions / bases?

Yes

Is it able to export the collected energy data in a standard format for use in other applications (for example, ASCII files or other formats commonly used by standard office applications)?

Yes

Is it able to retain a minimum of 2 complete years of metering data without loss of data resolution or accuracy, in a date/time stamped format, suitable for analysis of trends and patterns?

Yes

Does it provide facilities to enable the user to select datasets from individual meters and manipulate them by combining, comparing, and calculating in order to analyse, identify and evaluate instances of energy waste?

Yes

Does it enable the user to undertake regression analysis using two variables in whatever frequency the dataset was obtained, and to display the results in graphical form with a correlation coefficient?

Yes

Does it enable the user to set up automatic exception reporting functions that are capable of basing exception reports on the raw data profile?

Yes

Does it enable the user to set up standard management reports that enable total energy consumption to be benchmarked against performance standards during a user selectable period?

Yes

Does the product when sold as Software as a Service (SaaS) comply with the appropriate requirements from ISO 27001 on data security?

Yes

Is the software approved under BSC Procedure BSCP601 to read half hourly data from meters and devices?

Yes

Uniclass codes