Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets
Round 1
Reviewer 1 Report
Authors have presented the work on the improvement of the accuracy of very-short-term (VST) photovoltaic (PV) power generation with help neural network. The work is performed/presented well and contain innovativeness. However, I have the following observations:
The abstract and conclusion part need to improve with some quantitative results. Line 159-163 is not required, rather, importance and innovativeness of the study need to highlight compare to the pertinent literature. Validation of the model with the literature will improve the quality of the paper. Update literature with few more papers like: Back propagation artificial neural network (BPANN) based performance analysis of diesel engine using biodiesel. AIP J Ren Sus Energy 3, 013101. pp. 1-12. doi: 10.1063/1.3517229 Das B., Jha P., Rezaie B., Gupta R. (2017).
Author Response
Thanks for offering us the opportunity to further improve our work. Your time, effort and significant comments are greatly appreciated by all the authors. And please read the word attached.
Author Response File: Author Response.pdf
Reviewer 2 Report
Please read the comments attached.
Comments for author File: Comments.pdf
Author Response
Thanks for offering us the opportunity to further improve our work. Your time, effort and significant comments are greatly appreciated by all the authors. And please read the word attached.
Author Response File: Author Response.pdf
Reviewer 3 Report
The paper is well written. The main remarks are:
Page 4: Please provide also information about the latitude of the location.
Lines 206-207: Text need to be clarified.
Line 329: Change “Figure 7” with “Figure 8”.
Figure 17: Please check, no information is included.
There are some small typos which have to be corrected in the revised version.
Author Response
Thanks for offering us the opportunity to further improve our work. Your time, effort and significant comments are greatly appreciated by all the authors. And please read the word attached.
Author Response File: Author Response.pdf