Compare the predicted number of user and the actual

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Reference no: EM132390789

Assignment

Software: R and MATLAB

You need to work on - the entire work just about predicting the users. Explain everything in detail to make it easier and clearer.

You have a set of data this data we assume is related to a space. The data contains the number of users in a space, the heat and electricity consumption, and weather temperature. The data cover 10 months from one year.

((the data is well organized, so you don't need extra time to organize anything))

What you want to do:

The entire work is about predicting the number of users based on previous data, energy, and the weather. You have 10 months of full data - I need you to assume that we don't know the number of users in month number 4 and 8.

So, using Markov chain to predict the number of users [[based on the given data]]

To compare the predicted number of user and the actual - kind of validate the model

Second you need to predict the number of users in month 11 and 12 to complete the year, after that estimate the months 1, 2, 3, 4, 5 and 6 from the coming year.

The output as explained is the number of users in the selected months

• Graphs (for month 4) need a graph to show the prediction and another graph contains the actual and the perdition graph together

• Graphs (for month 8) need a graph to show the prediction and another graph contains the actual and the perdition graph together

• Graphs (for month 11, 12, 1, 2, 3, 4, 5 and 6) just one graph of the prediction users for each month

• Table for the number of users for each month (per day) - Excel file will be acceptable

• The work has to be done using MATLAB and R with the files

• For MATLAB

• Using Markov chain - required formulas and models I need it written with explanation

• Written work for the work you've done - PDF file will be acceptable

• For the R program

• The required just the graphs with the tables - to compare how different between two software

• PDF file for the results - no need to write

Make sure the graphs a clear and will presented

This is part of the data to show that you don't need to organize any thing.

It is ready to be import in the MATLAB and R

Month 1

users

electricty

heat

weather

1

0

389.125

7,700

6

2

656

882.75

7,400

5.1

3

813

915.25

6,900

7.9

4

907

896.5

4,700

9.8

5

893

812.875

3,700

6.5

6

775

793.875

5,200

0.4

7

1127

802

6,500

3

8

2665

1313.25

7,300

3.4

9

2510

1317.875

7,200

3.3

10

2335

1219.625

6,200

5.6

Attachment:- MATLab Data.rar

Reference no: EM132390789

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Reviews

len2390789

10/22/2019 3:49:59 AM

So will be the coding files for both software -written explanation about the formula and the models - PDF - well presented and clear graphs for each month separately -The table shows the value of users for each month -comparing a graph for MatLab and R results separately -Written work for the work done -PDF and more details on the instructions

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