Private Broadband Opens the World of Big Data for Utilities
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- Dec 2, 2020 5:40 pm GMTNov 30, 2020 11:19 pm GMT
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This item is part of the Special Issue - 2020-12 - Data Analytics & Intelligence, click here for more
Collecting and analyzing data is not new to the utility industry—it has been doing that for decades on an array of devices, from customer meters to a broad range of distribution and transmission sensor and control devices. But historically, those data sets have been restricted both in distribution and usability, rendered largely inaccessible by proprietary, narrowly focused applications and their single use networks carrying the data. A smart meter or connected distribution transformer monitor for example, reliably records a variety of typical parameters including voltage, current, power, frequency, temperature, events, and alarms. However, its application is usually for a narrow, and often proprietary, purpose or application, often only extracting a fraction of the possible value the data generated could provide if it were made accessible and even combined across application domains. Though there may be good security and privacy reasons for closely restricting sensitive data, the inability to fully capture, aggregate, analyze and then act upon a myriad of data streams has substantially delayed the utility industry’s ability to realize the vast benefits of modern data analytics, machine learning and artificial intelligence. The answer may be in the introduction and integration of private broadband into the utility ecosystem.