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Article
Peer-Review Record

Resolving Energy Losses Caused by End-Users in Electrical Grid Systems

by Ashraf Zaghwan 1 and Indra Gunawan 2,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Submission received: 10 February 2021 / Revised: 13 March 2021 / Accepted: 16 March 2021 / Published: 22 March 2021
(This article belongs to the Section Electrical Engineering Design)

Round 1

Reviewer 1 Report

the approach to assess and evaluate losses are not convincing, understanding end user behavior has many factors, and relating to physical system and energy models are missing

Introduction should be improved to show different analysis methods of energy losses

Some figures are not useful like figure 4

proposed simulation is not clear, basis to model behavior is approximate

many sections are not related to each other, wen reading heat map with figure 11, was not able to link to the overall proposed framework

modeling user events are not able to build case for accurate estimation of losses

 

 

Author Response

Thank you for your valuable comments.  Please see attached our responses and the revised paper.

Author Response File: Author Response.docx

Reviewer 2 Report

Hello Indra Gunawan and Ashraf Zaghwan,

Thank you for preparing this article and I felt it had great content inside. Here are some things to improve from my reading:

  • Little rework for the abstract: I felt that the choice of words could be better
    • Line 11: I feel like the section called 'Research limitations/impacts'. Going through this section, I did not really see the limitations part for your research
    • Line 24: I would consider adding anything related to Energy/Electricity efficiency as I feel they are directly connected with your research
  • Line 109: I would swap the names of the approaches with each other to match the orientation of the the figure
  • Line 149: The abstract talks about statsmodels module but this line just says Python software. I don't think its correct to refer to Python as a software (its more of scripting language). I would reword this to something else. Also, I would consider adding more details about statsmodels in this section (statsmodels is a huge package and it would be nice to know which algorithms were used)
  • Some of the figures are very small:
    • Figure 9: Difficult to read the y-axis
    • Figure 10: Difficult to see the clusters
    • Figure 15: Difficult to see the scatter plots

Author Response

Thank you for your valuable comments.  Please see attached our responses and the revised paper.

Author Response File: Author Response.docx

Reviewer 3 Report

Authors utilize statistical methods in order to model energy losses using time series data. Their approach to investigate TLs is focused to the behaviour of the end user. My overall impression is that the proposed article can be published after some minor corrections:
- From my point of view the title of the article should be more descriptive,
- Some Figs ( such as 9, 10, 11, 12, 15) need visualization improvement because are not readable.

Author Response

Thank you for your valuable comments.  Please see attached our responses and the revised paper.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

the revision is fine

Author Response

Thank you for your valuable comments.  We have incorporated the feedback in the revised paper.

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