Souvik Ganguli and Swadhin Chakrabarty
The intelligent energy grid offers two-way power and data exchange between produces and consumers to facilitate control of the power system in terms of economic efficiency, reliability and health. Continuous sensor installation, wireless networking, network access and cloud computing technologies manage large amounts of fast data from the energy sector. This program allows micro-energy customers and producers to play a more active role in the power and competitive energy management markets. The biggest challenge with a smart grid is how customers would increase their role in rising energy costs. Smart sensor networks deliver various possibilities for smart grid applications, such as power management, power management in demand, centralized storage management and clean-energy plant integration. The analysis and evaluation of these data offers more insights that increase the quality of energy grid operation for experts. The term big data here means predictive analysis. This is often related to customer analytics or other special types of data analytics that are interested in data, but often in the scale of data collection.
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