Intelligent Management of Renewable Energy Communities: An MLaaS Framework with RL-Based Decision Making

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This paper proposes a machine learning as a service (MLaaS) framework based on reinforcement learning for managing the microgrid of a renewable energy community (REC).The following are my comments:

1. This article emphasizes the use of reinforcement learning agents to manage each REC microgrid and mentions the importance of data privacy. However, in an actual multi-tenant environment, data interaction between different microgrids and RECs may pose a risk of privacy leakage.
2. The experiment is mainly based on 25 microgrid datasets in the Pymgrid simulator and generates additional microgrids through custom random offsets to simulate larger communities. However, this simulation method may not fully capture the diversity and complexity of microgrids in the real world.
3. This article does not elaborate on how to update and adjust the prediction model in real time to adapt to the constantly changing market conditions and new data input.
4. What is the core work and the biggest innovation of the article?
5. In this paper, the authors focus on the optimization of renewable energy communities (RECs) and compare and analyze different approaches to show your advantages by integrating machine learning and reinforcement learning methods. You can refer to the following articles:

[a] IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2024.3390595

[b] IEEE Transactions on Smart Grid, vol. 15, no. 1, pp. 607-616, Jan. 2024

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

My comments are attached

Comments for author File: Comments.pdf

Comments on the Quality of English Language

See the attached file

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

 The paper was written very clearly and neatly

Although, I found some revision in the article which can be found in the manuscript. 

1. Authors have not clearly explained what it the role of COP26 in Renewable energy sources.  Please cite some relevant articles which signifies the role of COP 26 : https://doi.org/10.3390/inventions6040077; https://doi.org/10.3390/su141911880
2. Why citations number are missing in the entire in the article 
3. Some figures are not visible please expand them 
4. The equations used in the artilce are personally derived from the authors or taken from any other studies?
5. Did authors conducted ANOVA tests for the present study for this kind of ANOVA tests will make more clearer like the following articles: http://dx.doi.org/10.3390/en12193631; https://doi.org/10.1109/CoDIT49905.2020.9263843; https://doi.org/10.1016/j.ijhydene.2019.04.028; 
6. Authors should always keep in mind the caption of tables always ahead to the table and figure lables must be after figure
7. Conclusions are not upto mark 
8. The introduction sections need to be improved with most releavnt articles 
9. The references are missing in the article
10. Some captions may be minimized
11. The title need to be elobrated 

Author Response

Attached the reply letter.

Author Response File: Author Response.pdf

Round 2

Reviewer 3 Report

Comments and Suggestions for Authors

Accept in present form