The Fusion of Energy Sector and Big Data

The Fusion of Energy Sector and Big Data

By Energy CIO Insights | Wednesday, July 31, 2019

The new methods of legal guidelines, cost anxiety, and rising competition are the ones that are driving digitalization in the energy sector.

FREMONT, CA: Three typical applications can entirely give a picture illustrating the benefits of the power companies from IoT sensor technology and big data analytics.

Extended Life-Span of Underground Cables:

The entire power line is essential to the reliable energy distribution, but when grid operators are replacing a defective line section, it often goes into downtime and becomes expensive. The most suitable method of optimization with remarkable savings potential for grid operators is to adopt the techniques and processes that expand the life-span of power cables. By continually checking the temperature of underground cables with intelligent sensors can help in maintaining control over the operating temperature. This method extends the life-span of power cables in the long run and minimizes replacement costs.

Check Out : Top Big Data Consulting/Services Companies 

The reliable transmission technology having cables equipped with sensors is primary, when it comes to the use of intelligent IoT sensor technology. In association with mathematical models based on big data technology, data collected can be utilized to optimize the flow of current. The structure can be optimized by letting power companies take countermeasures and reduce flow rates or redistribute loads. They can use the technology for distant power reading, measuring gas and water, and controlling switching devices.

Lowered Load Intervention:

The installation of renewable energy into the power grid and incomplete information regarding individual power generation facilities can pilot to unpredictability in load flow that is difficult to forecast. Transmission network operators then intrude manually in generation by power plants and decentralized generation facilities to prevent line sections, causing an expensive affair.

Big data analytics can be utilized to generate new findings concerning how individual aspects influence each other and build forecasts. The results bring transparency as to how different plants persuade loads on substation nodes, permitting companies to take steps at an initial stage and prevent costly re-dispatch in case of overload.

Customer Satisfaction with Big Data Analytics:

Customer loyalty is a significant issue when utility companies face cutthroat competition. Power companies can use big data analytics to analyze user behavior on their websites and portals along with the opinions about their brand and products on social media. By combining these data with further findings from web surveys, allows them to target their marketing and sales activities precisely.

Top Big Data Companies : Adaptive AnalyticsMETRONQuantitative Business Analytics (QBA).

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