Digital Deviation Detection in Quant Insight identifies faults in grid companies before they become a problem – We detected serious deviations from day one
Work smarter – save time, avoid errors, and improve the customer experience
Embriq has just launched the new Digital Deviation Detection module in Quant Insight, and the feedback from reference customers is clear: this is a breakthrough for grid companies that want to save time, avoid errors, and deliver a better experience for their customers.
André Gjørven, Head of Grid Systems at Mellom, is one of those who has tested the module for several months. He has closely followed the development and sees major benefits in practice. The module has already proven to make a noticeable difference in daily operations, and the experiences so far point toward a new standard for how grid companies can work smarter.
Work smarter – save time, avoid errors, and improve the customer experience
Embriq has just launched the new Digital Deviation Detection module in Quant Insight, and the feedback from reference customers is clear: this is a breakthrough for grid companies that want to save time, avoid errors, and deliver a better experience for their customers.
André Gjørven, Head of Grid Systems at Mellom, is one of those who has tested the module for several months. He has closely followed the development and sees major benefits in practice. The module has already proven to make a noticeable difference in daily operations, and the experiences so far point toward a new standard for how grid companies can work smarter.
Digital Deviation Detection gives grid companies automated deviation detection
Previously, faults often had to be discovered by chance or through time-consuming manual routines. To verify metering data, grid companies have typically relied on monthly reports and file exports, which both cost money and create extra work. With Digital Deviation Detection, the process is fully automated – and deviations are detected in real time through automatic monitoring and analysis of metering data.
This shift from manual routines to automated monitoring has had a significant practical impact for the grid company Mellom. The system detects deviations early and can prevent small errors from developing into major or aggregated problems that affect both operations and end customers.
The major innovation in Digital Deviation Detection is that the system analyzes measurement values – not just alarms. This opens up entirely new possibilities across different meter types and configurations. Some functions are designed to scan all metering points, others focus on specific meter types, while some can be configured to monitor individual meters or selected groups of metering points.
– Previously, we had to order a monthly export of an Excel sheet from our supplier to check metering data. It cost us both money and working hours. Now, Digital Deviation Detection automatically identifies if measurements are reversed or if production values appear where they shouldn’t, explains Gjørven.
Digital Deviation Detection gives grid companies automated deviation detection
Previously, faults often had to be discovered by chance or through time-consuming manual routines. To verify metering data, grid companies have typically relied on monthly reports and file exports, which both cost money and create extra work. With Digital Deviation Detection, the process is fully automated – and deviations are detected in real time through automatic monitoring and analysis of metering data.
This shift from manual routines to automated monitoring has had a significant practical impact for the grid company Mellom. The system detects deviations early and can prevent small errors from developing into major or aggregated problems that affect both operations and end customers.
The major innovation in Digital Deviation Detection is that the system analyzes measurement values – not just alarms. This opens up entirely new possibilities across different meter types and configurations. Some functions are designed to scan all metering points, others focus on specific meter types, while some can be configured to monitor individual meters or selected groups of metering points.
– Previously, we had to order a monthly export of an Excel sheet from our supplier to check metering data. It cost us both money and working hours. Now, Digital Deviation Detection automatically identifies if measurements are reversed or if production values appear where they shouldn’t, explains Gjørven.
Detects metering errors at end customers early
One example he highlights illustrates how valuable the system can be. During the test period, Digital Deviation Detection quickly discovered an installation error at a large industrial facility that could have had significant consequences if not caught in time.
– We discovered a deviation at a large industrial facility the day after it was powered up. With Digital Deviation Detection, it was resolved the very next day. Without it, the problem could have gone undetected for several months, continues Gjørven.
The result of such an undetected fault would have been extensive for a grid company, involving a great deal of extra work to correct actual consumption – and likely a fair amount of customer dissatisfaction.
Some examples of automated monitoring that can detect unwanted deviations include:
• Positive readings from non-producers
• Instant readings from new meters
• High voltage at prosumer sites
• Zero readings at industrial customers
• Prosumer export >100 kW
Detects metering errors at end customers early
One example he highlights illustrates how valuable the system can be. During the test period, Digital Deviation Detection quickly discovered an installation error at a large industrial facility that could have had significant consequences if not caught in time.
– We discovered a deviation at a large industrial facility the day after it was powered up. With Digital Deviation Detection, it was resolved the very next day. Without it, the problem could have gone undetected for several months, continues Gjørven.
The result of such an undetected fault would have been extensive for a grid company, involving a great deal of extra work to correct actual consumption – and likely a fair amount of customer dissatisfaction.
Some examples of automated monitoring that can detect unwanted deviations include:
• Positive readings from non-producers
• Instant readings from new meters
• High voltage at prosumer sites
• Zero readings at industrial customers
• Prosumer export >100 kW
Better customer experience with accurate billing from the start
- One of the advantages of Digital Deviation Detection is that it also improves the customer experience. With better tools to ensure correct energy measurement from the start, customers avoid unpleasant surprises such as unexpected back billing covering several months, he says
Previously, a metering point with an installation error could remain with zero consumption for months, only to later receive a consolidated invoice based on estimates. Now, we largely avoid those situations. It saves us a lot of work – and customers from frustration, says Gjørven.
He also highlights the user-friendliness of Digital Deviation Detection as one of its strengths. With multiple views, filters, and sorting options, it’s easy to navigate – and any minor improvements are quickly followed up by Embriq’s development team. This ensures that the tool continues to evolve.
It will be exciting to use Digital Deviation Detection to monitor grid operations in real time, with alerts based on user-defined measurement values. This allows us to proactively follow up with customers struggling with overloads or set alert thresholds for voltage levels measured in a substation, he adds.
Better customer experience with accurate billing from the start
- One of the advantages of Digital Deviation Detection is that it also improves the customer experience. With better tools to ensure correct energy measurement from the start, customers avoid unpleasant surprises such as unexpected back billing covering several months, he says
Previously, a metering point with an installation error could remain with zero consumption for months, only to later receive a consolidated invoice based on estimates. Now, we largely avoid those situations. It saves us a lot of work – and customers from frustration, says Gjørven.
He also highlights the user-friendliness of Digital Deviation Detection as one of its strengths. With multiple views, filters, and sorting options, it’s easy to navigate – and any minor improvements are quickly followed up by Embriq’s development team. This ensures that the tool continues to evolve.
It will be exciting to use Digital Deviation Detection to monitor grid operations in real time, with alerts based on user-defined measurement values. This allows us to proactively follow up with customers struggling with overloads or set alert thresholds for voltage levels measured in a substation, he adds.
– It will be exciting to use Digital Deviation Detection to monitor grid operations in real time, with alerts on user-defined measurement values. This way, we can, for example, provide proactive follow-up for customers experiencing overloads or set alert thresholds for voltage measured in a substation.
Proactive alerts ensure better grid operation
The module has delivered on expectations, and the past few months of testing have confirmed that the requested functionality is in place. The platform supports a wide range of features, and automatic event closure is one of the freshest innovations.
– The module is ready for deployment now but also has great potential for further development through Embriq’s close collaboration with its Insight users. The experience so far has been unanimously positive, and Gjørven emphasizes that this is a tool more grid companies should start using.
– I’m very satisfied. We’ve had the chance to test it early, and I look forward to more companies adopting it so we can exchange experiences across organizations. Digital Deviation Detection covers a range of needs – from the operations center to customer service. This is a tool every grid company should have, he concludes.
Proactive alerts ensure better grid operation
The module has delivered on expectations, and the past few months of testing have confirmed that the requested functionality is in place. The platform supports a wide range of features, and automatic event closure is one of the freshest innovations.
– The module is ready for deployment now but also has great potential for further development through Embriq’s close collaboration with its Insight users. The experience so far has been unanimously positive, and Gjørven emphasizes that this is a tool more grid companies should start using.
– I’m very satisfied. We’ve had the chance to test it early, and I look forward to more companies adopting it so we can exchange experiences across organizations. Digital Deviation Detection covers a range of needs – from the operations center to customer service. This is a tool every grid company should have, he concludes.
About Mellom
Mellom AS is the regional grid company responsible for stable and sustainable power supply in the municipalities of Kristiansund, Aure, Tingvoll, Smøla, and Averøy. The company is owned by NEAS AS and is responsible for developing, operating, and maintaining the infrastructure that connects the region.
A new standard for the grid company of the future
Digital Deviation Detection is now available in Quant Insight. Contact one of our experts to learn how the system can help your company quickly detect faults, streamline operations, and deliver a better customer experience.
About Mellom
Mellom AS is the regional grid company responsible for stable and sustainable power supply in the municipalities of Kristiansund, Aure, Tingvoll, Smøla, and Averøy. The company is owned by NEAS AS and is responsible for developing, operating, and maintaining the infrastructure that connects the region.
A new standard for the grid company of the future
Digital Deviation Detection is now available in Quant Insight. Contact one of our experts to learn how the system can help your company quickly detect faults, streamline operations, and deliver a better customer experience.