Question

How does the proposed method reduce data volumes and data rates when dealing with PV power dropouts?

a.

By sending a data packet into the network for every change in PV output

b.

By setting a high ΔE threshold for expected values

c.

By filtering out expected values and sending messages only for unexpected significant power dropouts

d.

By using a fixed ΔE threshold for all PV plants

Posted under Big Data Computing

Answer: (c).By filtering out expected values and sending messages only for unexpected significant power dropouts Explanation:The proposed method reduces data volumes and data rates by filtering out expected values and sending messages only for unexpected significant power dropouts.

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