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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 9 of 12

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Q81.
In the context of EDM, what defines an event?

a.

A constant energy flow

b.

An absence of metering processes

c.

A change in the state of metering process elements

d.

A consistent exchange of metering data

Discuss
Answer: (c).A change in the state of metering process elements Explanation:In EDM, an event is defined as a change in the state of metering process elements that influences the outcomes of AMM/AMR.
Q82.
How does the EDM method handle energy variations in metering data?

a.

It increases the sampling frequency.

b.

It omits energy variations.

c.

It operates with integral sums and irregular time slicing.

d.

It uses fixed thresholds to detect variations.

Discuss
Answer: (c).It operates with integral sums and irregular time slicing. Explanation:The EDM method operates with integral sums and irregular time slicing to match the energy cycles caused by real-life processes.
Q83.
What are the conditions for an event to be detected in the EDM method?

a.

A decrease in energy variations.

b.

A series of small variations with accumulated changes.

c.

A high increase in energy variations (Ei' > ฮด) and small variations (ฮ”Ei < ฮดE).

d.

A decrease in the frequency of variations.

Discuss
Answer: (c).A high increase in energy variations (Ei' > ฮด) and small variations (ฮ”Ei < ฮดE). Explanation:Events are detected in EDM when there is a high increase in energy variations (Ei' > ฮด) and a series of small variations with accumulated changes, but for all ฮ”Ei < ฮดE.
Q84.
How does EDM change the timing of data transmission compared to frequent TDM?

a.

EDM uses fixed timestamps for data transmission.

b.

EDM sends data when energy variations occur.

c.

EDM delays data transmission.

d.

EDM reduces the data transmission frequency.

Discuss
Answer: (b).EDM sends data when energy variations occur. Explanation:EDM sends data when energy variations occur, changing the timing of data transmission.
Q85.
What is the primary advantage of EDM over TDM in terms of data volumes?

a.

EDM reduces the data quality.

b.

EDM increases the costs.

c.

EDM reduces data volumes by omitting identical data packets.

d.

EDM requires more bandwidth.

Discuss
Answer: (c).EDM reduces data volumes by omitting identical data packets. Explanation:EDM reduces data volumes by omitting identical data packets, making it more efficient than TDM.
Q86.
How is data transmission handled in EDM regarding polling requests from the grid side?

a.

Meters proactively send data without waiting for polling requests.

b.

Meters send data only when specifically requested by the grid.

c.

Data transmission in EDM follows a fixed schedule.

d.

EDM has no effect on data transmission methods.

Discuss
Answer: (a).Meters proactively send data without waiting for polling requests. Explanation:In EDM, meters proactively send data without waiting for polling requests from the grid side.
Q87.
What is one of the main advantages of EDM over TDM in terms of information flow?

a.

EDM has a higher sampling frequency.

b.

EDM is more expensive.

c.

EDM provides additional information about energy processes in time dimension.

d.

EDM requires fewer electronic meters.

Discuss
Answer: (c).EDM provides additional information about energy processes in time dimension. Explanation:EDM provides additional information about how energy processes occur in the time dimension.
Q88.
How does the time-wrapping/compression property of EDM impact data analysis?

a.

It extends the time scale.

b.

It limits data analysis perspectives.

c.

It allows for analysis from different perspectives.

d.

It has no effect on data analysis.

Discuss
Answer: (c).It allows for analysis from different perspectives. Explanation:The time-wrapping/compression property of EDM allows for data analysis from different perspectives.
Q89.
What is the main advantage of EDM over TDM in terms of data exchange?

a.

EDM reduces the number of electronic meters required.

b.

EDM provides more information with fewer data samples.

c.

EDM increases the cost of data exchange.

d.

EDM requires more frequent sampling.

Discuss
Answer: (b).EDM provides more information with fewer data samples. Explanation:EDM provides more information about energy variations with fewer data samples.
Q90.
What is the key benefit of using low-cost electronic meters for tracking real-life processes in energy terms?

a.

They are highly accurate.

b.

They provide advanced communication standards.

c.

They are expensive.

d.

They offer a low-cost opportunity to trace real-life processes in energy terms.

Discuss
Answer: (d).They offer a low-cost opportunity to trace real-life processes in energy terms. Explanation:Low-cost electronic meters provide a low-cost opportunity to trace real-life processes in energy terms.
Page 9 of 12

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