The new methods of legal guidelines, cost anxiety, and rising competition are the ones that are driving digitalization in the energy sector.
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 reliable energy distribution, but it often goes into downtime when grid operators replace a defective line section. The most suitable optimization method is to adopt techniques and processes that expand the lifespan of power cables.
Continually checking the temperature of underground lines with intelligent sensors can help maintain control over the operating temperature. This method extends the lifespan of power cables in the long run and minimizes replacement costs.
The reliable transmission technology with cables equipped with sensors is primary for intelligent IoT sensor technology. In union with mathematical models based on big data technology, data collected can be used to optimize the flow of power. They can apply the technology for outlying power reading, measuring gas and water, and controlling switching devices.
Lowered Load Intervention:
The establishment of renewable energy into the power grid and incomplete information about individual power generation facilities can pilot unpredictability in load flow that is hard to forecast. Transmission network operators then interfere manually in generation by power plants and decentralized generation facilities to prevent line sections, causing an expensive affair.
Big data analytics can generate new findings concerning how individual aspects influence each other and build forecasts. The results show 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 primary issue when utility companies face cutthroat competition. Power companies can utilize big data analytics to analyze user behavior on their websites and portals, along with the opinions about their brand and products on social media. Integrating these data with further findings from web surveys allows them to target their marketing and sales activities precisely.
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