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Welcome to the Application of Big Data in Analyzing Electric Meter Data MCQs Page

Dive deep into the fascinating world of Application of Big Data in Analyzing Electric Meter Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Application of Big Data in Analyzing Electric Meter Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Application of Big Data in Analyzing Electric Meter Data, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Application of Big Data in Analyzing Electric Meter Data MCQs | Page 7 of 12

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Answer: (c).It uses the additional energy quantities for various purposes. Explanation:An intelligent demand-side application uses the additional energy quantities for various purposes, such as heating and cooling, in the context of wind power with stored energy.
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Answer: (d).By originating data volumes depending on data sampling Explanation:A wind power plant contributes to data volumes and data traffic by originating data volumes depending on data sampling, similar to PV plants.
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Answer: (b).To measure the amount of electricity produced or consumed during a certain period Explanation:Electricity metering measures the amount of electric energy produced or consumed during a certain period of time, supplying information about the recent behavior of the power system.
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Answer: (b).By finding products of instantaneous powers Explanation:A digital electricity meter determines energy quantities (kW h) by finding products of instantaneous powers.
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Answer: (b).It collects and exchanges digital data between metering devices and other grid stakeholders. Explanation:AMR/AMM is a process that automatically collects and exchanges digital data between metering devices and other grid stakeholders.
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Answer: (b).It models appliances as finite state machines and detects behavioral patterns. Explanation:NILM models electric appliances as finite state machines and detects their behavioral patterns to determine energy consumption.
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Answer: (c).It eliminates the need for individual appliance monitors. Explanation:NILM is considered a cheap alternative to intelligent plugs and individual monitors attached to each appliance, eliminating the need for such monitors.
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Answer: (c).To obtain representations of the magnitude and phase angle of electrical waves Explanation:Phasor measurements obtain representations of the magnitude and phase angle of electrical waves, helping assess the stability of the electricity grid.
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Answer: (d).By providing real-time information about power flows Explanation:Phasor measurements provide real-time information about power flows, which helps improve power quality and reliability.
Q70.
What equipment is required for the phasor measurement process, and why is it considered expensive?
Discuss
Answer: (b).PMU/PDC units, which are costly Explanation:The equipment required for phasor measurement includes PMU/PDC units, which are considered rather expensive.

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