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How Big Data Analytics Makes the Energy Industry Smart

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Reducing energy consumption, finding new renewable energy sources and increasing energy efficiency are important big data goals for environmental protection and economic prosperity. Large amounts of data in motion are increasingly being monitored and analyzed in real time, helping to achieve these goals. Many large custom software development companies and mobile application development companies use a variety of methods to ensure they have the energy resources they need today and in the future. Non-traditional energy sources such as solar farms, wind turbines and wave power are becoming more viable possibilities as the prices and availability of fossil fuels continue to be an issue.

Electric utilities are moving to smart grids with the development of modern metering infrastructure and big data capabilities to gain strategic insights to support optimal energy use. FortySeven IT pros will show you three real-life examples of how big data analytics helps the energy industry, based on our experience working with electric utilities. In this article, Hanna Shnaider, Head of Marketing at FortySeven, explains how big data analytics can benefit the power industry. You can read more about her here.

Use cases of how Big Data Analytics makes the energy industry smart

Here are the most common applications of big data analytics in the energy and utilities industry:

Failure detection and predictive maintenance

It is common knowledge that equipment failures in the energy sector can lead to catastrophic power outages and large amounts of money spent on new assets, restoration work and energy loss. A power outage can cripple an entire country, as did the 2013 northeastern power outage in the United States, affecting nearly 45 million people. One of the main causes of power outages is adverse weather conditions. Nonetheless, custom power and utility software development companies are developing smarter infrastructure and sensors to improve predictability and prevent such outages.

Modern power failure systems from some custom software companies use real-time solutions based on live data and intelligent algorithms to predict and prevent disasters. These systems can estimate the influence of any asset value in near real time on the grid network, as well as possible outages induced by smart meter events, regional outages, etc.

Electric power quality

The quality of electrical energy influences the safe operation of an electrical system and the happiness of consumers. Big data software, fortunately, goes far beyond the detection of anomalies a posteriori. For example, at FortySeven47, we can help our customers set up continuous monitoring of power quality to establish an “early warning system” using deep learning and recognition algorithms. of shapes. With this system, you can quickly and reliably examine all data related to power quality and detect and categorize deviations from the norm that emerge in power grids. Once the deviation is categorized, the reason can be determined and preventative action taken to avoid downtime and production loss.

Load management

Energy is a bespoke, capital-intensive company that places great importance on the performance of equipment and network infrastructure. Failure of these assets could lead to major electricity distribution problems and, consequently, loss of consumer confidence. As a result, one of the main concerns of the industry is to prevent similar events.

Big data analytics comes to the rescue when it comes to preventive equipment maintenance. Smart sensors, trackers and data solutions are built into the assets, relaying real-time data to the center. The information gathered can then be processed and analyzed to identify potential equipment maintenance issues, enabling proactive problem resolution. And utilities aren’t the only ones benefiting from this: When home displays and programmable communicating thermostats are combined, electricity users have access to information that can prompt them to change their energy use, making advance the era of conscious energy. consumption.

Big Data and cheaper energy

According to CitiBank, the combination of big data and data analytics with low-cost energy solutions could potentially lead to free energy. Utilities can provide cheaper electricity by better matching energy supply and demand. But this is only the beginning. The idea behind free energy is to allow users to store excess energy and then sell it back to the grid, essentially recycling the energy. Another custom software development technology to anticipate is virtual power plants. The technology connects energy storage devices and controls them from one digital location. While free energy is still a long way off, one thing is for sure. The price of electricity production and consumption is falling thanks to Big Data analysis!

Big Data Testing for the Energy Industry

A custom software glitch in modern deployed grid systems triggered the 2013 power outage, which we discussed earlier. Energy development companies should consider the issues that can arise due to poor custom software development technologies as a custom software developer implements a very complex infrastructure to deliver reliable and uninterrupted power.

Because so much depends on the real-time transmission and analysis of big data throughout the network, it is high time the industry recognized the importance of big data testing as well as end-to-end testing.

A leading home comfort system vendor was looking for a low-cost load generation environment, such as software development companies, to study basic reaction time when using concurrently. They improved response time by 30%, hardware performance by 25%, and server performance and scalability by 20% using a cloud-based lead generation technique.

Conclusion

Many electric utilities have already started implementing big data analytics because of the benefits that predictive maintenance, power quality monitoring, and load control can bring to society. energy software development. The use cases listed in this article are not exhaustive.

A big data journey can be time consuming and fraught with pitfalls. But certainly, the result is always worth it when you have the right approach in place. Whenever you don’t know where to start or think your existing big data solution is lacking, FortySeven software professionals will be happy to help; Let us know.


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