Optimal Extreme Random Forest Ensemble for Active Distribution Network Forecasting-Aided State Estimation Based on Maximum Average Energy Concentration VMD State Decomposition

Round 1

Reviewer 1 Report

The final version of the paper must consider the following comments and suggestions:

1. Verify if square brackets must be included in the references;

2. Expression (17) is missing;

3. Figure 4 is missing;

4. Explain more clearly the procedure (random forest algorithm) that is used to identify and remove data outliers;

5. Explain/justify more clearly the criterion used to dimension training, validation and testing sets (7:2:1);

6. One paragraph in the conclusions starts with "(3)"!

7. Compact the number and information contained in the appendices. 

 

Acceptable

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

To start with, I would like to thank authors for their work, it was a pleasure to read the whole paper in terms of well-written material and interesting topic.

 

The paper under my consideration is devoted to the proposed method for forecasting-aided state estimation in active distribution network containing distributed generators. The method is based on the optimal extreme random forest via maximum average energy concentration and variable mode decomposition of states. The obtained model is tested on the IEEE 118-bus standard distribution system and compared with other existing models through the metrics: mean absolute error and root mean square error. The comparison confirmed the superiority of the method over others.

Overall, paper is well written. The strengths of the paper are as follows:

1.     The topic of the paper fits section theme “A1: Smart Grids and Microgrids”

2.     Used English is at good level, only some typos have been found

3.     Structure of paper is also at good level, presented material is coherent and cohesive

4.     Abstract and conclusions are well-written ones

5.     Introduction gives a comprehensive statement of the problem, the contribution of the article is clearly indicated

6.     Mathematical model for problem solving is presented

7.     Figures and tables are clear

8.     References are sufficient and up-to-date

9.     Impropriate self-citation is not found

 

 

To sum up, I recommend the publication of manuscript in the present from

Author Response

Please see the attachment.

Author Response File: Author Response.pdf