Deep Neural Networks in Power Systems: A Review
Round 1
Reviewer 1 Report
For consistency, it is worth commenting on why and where NNs have difficulties, and then with DNNs the problems are solved.
Some references for using NN are:
DOI 10.1109/NEUREL.2002.1057974
---------------------------------------------------------------------------
Specific comments such as:
1. What is the main question addressed by the research?
->How DNNs are applied and used in Power Systems.
2. Do you consider the topic original or relevant in the field? Does it address a specific gap in the field?
->Yes!
3. What does it add to the subject area compared with other published material?
->State-of-the-art in the area and concentrates on DNNs.
4. What specific improvements should the authors consider regarding the methodology? What further controls should be considered?
->They present recent trends and specifics in DNNs in Power systems. Better to connect with NN research in the last years and explain in more detail the motivation why DNNs.
5. Are the conclusions consistent with the evidence and arguments presented and do they address the main question posed?
->Yes!
6. Are the references appropriate?
->Yes!
7. Please include any additional comments on the tables and figures.
->Yes!
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
Comments for author File: Comments.docx
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Reviewer 3 Report
The present study offers a comprehensive review of the application of deep neural networks in power systems.
I particularly value the discourse on Interpretable Feature Learning and Physics-Guided Machine Learning. I believe this could provide significant insights for future research prospects in the field.
In the body of the text, the authors present a detailed review of various approaches, such as ReLU Neural Networks, Stacked Autoencoders, Deep Belief Networks, among others. However, it's not entirely clear to me how these methodologies specifically relate to or are contextualized within power systems. Is there perhaps a more suitable or specialized framework that is predominantly applied in this field?
Author Response
Please see the attachment.
Author Response File: Author Response.docx
