How to detect and find the most influential features

Reference no: EM133153029

Assessment Description

In this assignment, you will apply time-series to a particular problem in power stations. Suppose that a power station stores data regarding power consumption levels by time and region, in addition to power usage information per customer in each region. Write a 1,500 to 1,750-word essay, discussing how to solve the following problems in such a time-series database. Include the following:

- Find similar power consumption curve fragments for a given region on Fridays.
- Every time a power consumption curve rises sharply, explain what may happen within the next 20 minutes. Are you able to forecast the curve rises in the next 20 minutes?
- Describe how to detect and find the most influential features that distinguish a stable power consumption region from an unstable one.

Prepare this assignment according to the guidelines found in the APA Style Guide.

Article 1 - Data Mining Techniques in Database Systems Ledion Liço1

Article 2 - Time Series Data Mining: A Case Study With Big Data Analytics Approach

Reference no: EM133153029

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