3 Use Cases of How Big Data Analytics Makes the Energy Industry Smart

Using smart grids and modern metering infrastructure and big data analytics, electric utilities can gain strategic insights that promote more effective energy use. Here are three examples of how big data analytics may improve the energy industry based on our work with electric utilities.

Detection of faults and pre-emptive repairs

It's not a secret that breakdowns in the energy industry's equipment can lead to massive power outages and massive expenditures on new assets, restoration work, and energy losses. A smart meter and a big data-based approach to equipment monitoring and predictive maintenance can help avoid or mitigate these consequences. In addition to sensors, whose operation principle is described in the article dedicated to IoT-based predictive maintenance. smart meters generate a wide range of equipment state data to communicate disturbances, their location, and fault types to the utility in real-time. To avoid costly and time-consuming outages, electric utilities can use advanced big data technology to detect disruptions as early as possible.

The quality of electricity

The quality of electric power affects the safety of a power grid and the satisfaction of its customers. Thanks to big data tools, we can now detect problems a priori as well as to detect them in real-time. "An early warning system" powered by deep learning and pattern recognition algorithms can be implemented by clients. For example, all the data pertaining to electrical quality may be analyzed with this technology, and anomalies in power networks can be rapidly and precisely identified and classified. Once production losses have been classified, it is possible to discover the causes of a deviation and take preventative measures once that deviation has been classified.

?Controlling the amount of weight on a vessel

?With the use of advanced big data analytics, energy management may be done more effectively. Let's take a look at an example of how data science might help power companies predict demand and save money. Smart meters and local weather data are used to divide the area into zones. Using data from smart meters, AI systems may detect consumers' normal behavior, connect behavior patterns with historical data on weather conditions, and accurately anticipate customers' real-time behavior under weather conditions. In addition to the utility companies, consumers of electric power will benefit from the information they receive from in-home displays and programmable communicating thermostats, which encourages them to make changes in their energy consumption.

To get most of the energy gains, it's time to act now!

?Many electric utilities have already begun using big data analysis to improve predictive maintenance, power quality monitoring, and load control. These examples given are not comprehensive but gives an overview of the potential benefits of big data analytics.

?The route to big data can be long and risky. With the appropriate strategy, the result is always worth the effort.