Electricity Sales Package Decision Making Using Two-Stage Density Clustering and Minimum Adjustment Distance Consensus

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

I will use a block of 2-3 element:

text1

text2 <== may be void if text 1 is beyond fixing 

[comment]

 

 

In the decision-making of an electricity sales package, it is usually based on the specific situation of similar customers to provide a decision-making plan for target customer package selection, 

it is particularly important to integrate the opinions of similar customers.

[every decision-making is usually based on the specific situation; the rest of it belongs to marketing]

 

Therefore, a multiattribute group decision-making method of electricity sales package based on two-stage search density clustering algorithm-based (TSDCA) clustering and minimum adjustment distance consensus is proposed.

[Too long compound sentence! Use short simple sentences]

[...multi-attribute... for electricity...]

...clustering algorithm-based (TSDCA) clustering...

[such constructs are NOT ACCEPTABLE]

 

Firstly, a sample customers set clustering method based on customer portrait label system and TSDCA clustering is proposed to provide support for identifying similar customers of target customers.

[see above]

[... the customer...]

 

[It is not my duty to correct each and every sentence. Proofreading services are for it.]

[From now on, I will only concentrate on the science and logic]

 

Under such background, ...

Under such assumptions,

[too long sentence: ... is a must.]

 

In order to identify similar customers of target customers, based on the monthly 133

... to:  the mean value of the minimum load coeffi- 137

cient in the peak / valley / flat period are the label as labels.

[five lines? On Sentence?]

 

Figure 1. Flow chart of...

[definitely not a flowchart! See Wikipedia for a flowchart but I STRONGLY suggest an activity diagram (UML)]

 

Line numbers are at the end of each line.

 

> It should be pointed out that this paper only preliminarily studies the recommenda- 549

> tion method of electricity sales package on the basis of considering the hesitation ambigu- 550

> ity of customer evaluation information. 

 

it is impossible to comprehand it

 

> After the recommendation method is piloted in a 551

wider range, it is also necessary to study the quantitative method of customer satisfaction 552

combined with subjective scoring and objective evaluation indicators, and to carry out the 553

research on the recommendation of electricity sales package combined with the price link- 554

age of electricity sales package market and the market share of electricity sales companies. 555

as above

Figure A. Flow chart...

[This one resembles a flowchart but again, an activity diagram is more appropriate here]

 

All low-density customers are clustered？

Are all low-density customers clustered？

 

Again the same problem:

It can be clearly seen from Figures F4 to F6 that the same type of customers has the 655

same overall trend of satisfaction with each electricity sales package, and the ranking re- 656

sults of each electricity sales package are approximately the same, and different types of 657

target customers have different ranking results for each electricity sales package.

 

[Such a long sentence CANNOT BE USED!!!]

[if "It can be clearly seen..."] why to write 25 pages about it?

[I see one big mess in Fig. F4, F5, and F6.]

[These figures may be a nice piece of art but they do NOT CONTRIBUTE to explanation of anything. ]

 

The submission is 25 pages long. It concludes that "The ranking results each electricity sales package are approximately the same."

If "...electricity sales package are approximately the same." what is this submission for?

From what I can see, using a rating scale (defined in https://en.wikipedia.org/wiki/Rating_scale).

From the mathematical point of view, it is described in: 

https://en.wikipedia.org/wiki/Rating_scale#cite_note-3

I used "not applicable" for most evaluations since the entire submission should be split to two articles:

1. Theory (including the use of rating scales where appropriate and needed).

2. Application.

It is the first time I can see a formula one page long. It cannot be so.

English has to be improved. In its current form, it is simply unacceptable.

A native speaker should proofread it. 

Comments on the Quality of English Language

Unacceptable.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The article presents a new method for clustering electricity consumers according to their views (I think) of different electricity contracts (called packages in the manuscript which confuses the reader). 

The manuscript needs a lot of rewriting in order to make sense for the reader. 
i. Most of  the contents in paragraph 4 and 5 should come after the introduction as part of the current study (although part of paragraph 5 is resuts) and only then should the algorithms be presented in a methods section.

ii. On page 3 you provide what I interpret as research questions - are they? 

iii. Paragraph 5 is very thin, you could broaden the results, typical profiles of customers, elaborating on what you found in the data, etc. Only then will the paper contribute to the field.

I attach my comments to your article. 

Comments for author File: Comments.pdf

Comments on the Quality of English Language

Some terms are not correct, please see my comments. In addition, the paper would benefit from proof reading by a native english speaking person.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

R: is reviewer

R: Visualization is not a proof but visualization. 

> It can be seen from Fig.5 that the decision-making method proposed in this paper is optimal, and the RMSE is within 1.

R: Fig. 5 does not show much. Ctrl-F RMSE shows that the first use of it is in Fig. 5

Similarly, Ctrl-F TSDCA (used in the title) shows:

 

 

Theatrical Sound Designers and Composers Association

 Conclusions do not reflect findings. Findings

The acronym explanation in the Abstract:

two-stage search density clustering algorithm (TSDCA)

does not entitle using in the title! It does not work this way.

What does it mean? "two-stage search density"?

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The text has improved since the last round, thanks for the editing. 

Comments on the Quality of English Language

There are a few  typos and grammatical errors that need to be corrected before publishing.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 3

Reviewer 1 Report

Comments and Suggestions for Authors

I am giving my marginal approval acting upon "no harm to the jrn" and an evident Authors' devotion to the improvement. 

Suggestions:

Set a clear goal for your project:  "usefulness," and you will write a good publication.