PONE-D-20-37945

The Role of Clustering Algorithm-based Big Data Processing in Information Economy Development

PLOS ONE

Dear Dr. Ma,

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Haibin Lv

Academic Editor

PLOS ONE

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: To solve the shortcomings of energy consumption in smart grids, the author(s) proposed a two-layer DCA (Distributed Clustering Algorithm) based on the improvement of KMC (K-Means Clustering) and AP (Affinity Propagation). The author(s) then evaluated the applicability of DCA in big data processing of power systems and designed an information economic dispatch strategy suitable for new energy consumption in the power system. Finally, the author(s) established a multi-period information economic dispatch model on the basis of DCA, day-ahead dispatch, and real-time dispatch. Results proved the excellent performance of the proposed DCA and the applicability of the multi-period information economic dispatch model in smart grids.

This is an interesting and practical paper. I think it can be accepted after minor revision.

1.The abstract seems a bit wordy. The author(s) may delete some less important statements.

2.The keyword “big data processing” is wide and extensive. The author(s) can provide the exact big data approach here as a keyword, such as “K-Means Clustering” or “Affinity Propagation” mentioned in the abstract.

3.Not all the symbols in equations have been explained. The author(s) must not separate the equation explanations in two or more paragraphs.

4.Measurement units are missing in Figures 3 (both axes), 5 (the Y-axis), and 6 (the Y-axis).

5.More edge-cutting references should be cited.

6.The author(s) is encouraged to proofread this paper to perfect its language.

Reviewer #2: In this paper, a Distributed Clustering Algorithm (DCA) algorithm and a multi-period information economic dispatch model are introduced to analyze the effectiveness of cluster analysis in power system’s user-side DR under information economy development and explore the information economic dispatch strategy suitable for DR. The research results can provide some data support and a reference for the economic operation of the smart grid systems under the background of big data, and I think this paper can be published after minor revisions.

1: K-Means Clustering (KMC) and Affinity Propagation (AP) algorithms are mentioned in the abstract. Since these algorithms are the main algorithms in this research, they need to be briefly introduced in the introduction section.

2: In the “Algorithm performance and case analyses” section, it is mentioned that “According to indexes such as DB index, classification accuracy, iteration times, and calculation time….”. What is DB index? The meaning of DB should be explained clearly. Please add the related content.

3: English expressions in the figures should be checked and revised to improve readability of the paper. For example, in Figure 4, K should be modified as KMC. There is no need to replace KMC with letters. In addition, “The proposed algorithm” in the figures should be revised as "two-layer DCA" to make the expression clearer.

4: The grammar of this paper needs to be carefully checked and revised. For example, in the results and discussion section, it is mentioned that “In general, the two-layer DCA propose has the best performance.”. The word “propose” should be modified as “proposed”.

5: In the results and discussion section, the results of this study should be compared with those of others, so as to highlight the originality and advantages of the research.

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6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

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The Role of Clustering Algorithm-based Big Data Processing in Information Economy Development

PONE-D-20-37945R1

Dear Dr. Ma,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Haibin Lv

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: (No Response)

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The author has modified the article according to the requirement, the article meets the publication requirement, agrees to publish.

Good Luck.

Reviewer #2: In this paper, a Distributed Clustering Algorithm (DCA) algorithm and a multi-period information economic dispatch model are introduced to analyze the effectiveness of cluster analysis in power system’s user-side DR under information economy development and explore the information economic dispatch strategy suitable for DR. The research results can provide some data support and a reference for the economic operation of the smart grid systems under the background of big data, and I think this paper can be published now.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No