Optimizing Energy Consumption in the Home Energy Management System via a Bio-Inspired Dragonfly Algorithm and the Genetic Algorithm

Round 1

Reviewer 1 Report

The work is quality, but certain points require some illumination (as indicated below).

The full names of RTP and PAR should be given in Abstract since it appears for the first time. Authors are encouraged to introduce a nomenclature section at the beginning of the manuscript, including all variables, acronyms, indexes and constants defined in the manuscript, in order to make the text more clear and readable. 20 references are may be enough for a conference paper but they are insufficient for a serious journal publication. From this perspective, if the authors do not find relevant papers in electronics, they can look also in other relevant journals. Please use relevant recent references, recent meaning from 2016-2018. The references for the proposed method are not up to date. The authors should update these references to be presented as much as possible. Some more references could be added since lot of work is been carried out in this area in the past. It is necessary to describe better a topic on stability or convergence with other methods for the proposed method. There are many good references; among them the following are useful (but not only):

Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle (IEEE); Dynamic operation and control of microgrid hybrid power systems (Energy); An efficient demand side management system with a new optimized home energy management controller in smart grid (Energies); A novel unsymmetrical faults analysis for microgrid distribution systems (IJEPES);Improvement of Transient Stability in a Hybrid Power Multi-System Using a Designed NIDC (Novel Intelligent Damping Controller) (Energies); Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage (IEEE); A Modified Bird-Mating Optimization with Hill-Climbing for Connection Decisions of Transformers (Energies); A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environment (information); Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers (IEEE)

Although GA is a popular evolutionary algorithm, it does not guarantee the global optimum convergence. There are numerous research works showing improved or hybrid application of this algorithm with other methods. How dragonfly algorithm (DA) has been selected as the optimization method in this paper rather than many other algorithms (not only GA) with probably better performance? The authors should provide in-depth analysis. When a novel technique will be used to understand something, it always expects some new phenomenon that would not be discovered otherwise. However, in this paper, most of the conclusions obtained through the proposed method are not so surprising. I personally think this is due to the discussions over results are not enough right now, the authors should dig more upon the results for more insightful tips. It is not clear to address the relations in Mathematical Model between Objective Function and DA Mathematical Model. There are several points in the paper where the rationales behind some parameters are not provided, which makes them seem as surmise. Some additional analysis is expected over there. How can the stability in faults are confirmed for the proposed method? It is required to include a sub-section on the limitations of the adopted proposed DA scheme. Please talk about the future work and potential limitations briefly in the conclusions section. There are some errors and bad-constructed sentences observed by the reviewer. The authors need to ensure that the manuscript is clearly written avoiding such errors. The following is a sample of errors that have picked out, so the paper should be revised and checked.

* Abstract: The abstract must be rewritten. Authors can improve the abstract by including the existing challenges, motivations and outcomes of the paper.

* Line 9: The acronym RTP is not defined in the abstract.

* Line 16: The acronym PAR is not defined in the text.

* Line 79: dragonfly algorithm (DA) is multiply defined in the paper. 

* Line 109: The acronym EMC is not defined in the text. I think it should be defined.

* Line 134: Genetic Algorithm (GA) and Cuckoo Search Algorithm (CSA) are multiply defined in the paper. 

* Please check the entire manuscript thoroughly and carefully for further improvement.

Author Response

Dear Reviewer, 

Thank you very much for your valuable comments. I have revised paper as per your comments. Please check attached response sheets.

With best regards, 

Dhananjay Singh 

 

Author Response File: Author Response.pdf

Reviewer 2 Report

Thank you for submitting your manuscript to the electronics journal. Generally, the manuscript fits into the scope of the journal, but the structure does not respect Scientific Best Practice. (Introduction (literature review might be included here
- Material and Methods - Results - Discussion - Conclusions -
References). However, there are some more comments that require revision. Generally: expressions like "we" should be avoided. In a scientific publication is needed to use a neutral form. In the literature review, it is important that the scientific novelty of the work is established through a critical analysis of related literature. References from grey literature and non-
peer reviewed should be avoided. The literature research must be
improved substantially. How does this work contribute towards the gaps identified? How does it improve upon previous work? It is recommended that a short discussion of the novel contribution of each reference cited be provided to give readers a better understanding of their relevance. Which role might play neural
networks in the problem solving process ? Further, the scope of
the manuscript must be clearly defined. The methodology must be improved. I strongly recommend to include a flow chart illustrating the steps of the methodology. It should be indicated the source of all figures (also in case they are produced by the authors). In the conclusions, in addition to summarising the actions taken and results, please strengthen the explanation of their significance. It is recommended to use quantitative reasoning comparing with appropriate benchmarks, especially those stemming from previous work.

Author Response

Dear Reviewer, 

Thank you very much for your valuable comments. I have revised paper as per your comments. Please check attached response sheets.

With best regards, 

Dhananjay Singh 

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Thank you for prpviding the revised version, that caused a substantial improvement of the manuscript. All my comments have been considered in a profund way.