Anomalous energy consumption detection and reduction of energy costs
Goal of the company
- Identify energy waste and reducing energy consumption through data-driven insight
Main Scops features used
- Data aggregation
- Automatic data extraction, transformation and loading (ETL)
- Automatic data transfer pipeline from corporate databases
- Real-time data visualization
- Interactive dashboards
- Machine tuning optimization through data insights
- Smart Energy Monitoring
- AI-powered Anomaly Detection
Overview
Our client had set clear goals regarding sustainability and energy cost reduction. To significantly improve the plant's energy efficiency, the client needed to monitor and analyze energy consumption data from hundreds of meters. The team also needed to aggregate all the data on heavy Excel files that were difficult to use.
However, frequent analysis with up-to-date data was not possible without software that could carry out the process of collecting, cleaning and analyzing data from sensors automatically and continuously.
With the adoption of Scops, all data from electricity meters now converges on a single platform that automates data preparation and enables continuous monitoring through logical checks and AI-powered anomaly detection algorithms. In addition, the energy manager can now explore the plant's energy consumption through interactive dashboards through which data can be aggregated and meticulously analyzed.
Thanks to the data analysis capabilities of Scops, our client is now able to identify anomalous energy consumption early and take immediate action to prevent possible problems and thus improve efficiency and reduce plant costs. In fact, data-driven field interventions have resulted in savings in energy costs of 10 percent compared to the previous year's budget.
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- Gateway for radio data transfer to the Scops cloud
- AI Software for Advanced Analytics and Anomaly Detection Alerts
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