We find that matlab programming scale of transformational management extracted 6 factors via matlab programming greatest variance rotation method, and each factor load was above 0. 5, and its cumulative variance interpretation rate was 82. 036%. The scale of problem hindrance Stressors extracted two factors through matlab programming greatest variance rotation method, and matlab programming factor loads of each item were above 0. 7, and matlab programming cumulative variance interpretation rate was 71. 611%. And kindly believe that matlab programming Introduction section has been also more desirable using matlab programming remark No. 1 from Reviewer 2. In this paper, matlab programming authors proposed matlab Predictive Control of Switched Reluctance Generator SRG Based on Z Source Converter for Wind Power Applications. However, not simulation effects are given in this paper to verify matlab programming effectiveness of matlab programming proposed control of SRG for wind power functions. The use of SRG in wind power application could be announced in more details. Response: matlab programming use of SRG in wind power application has been introduced in additional details in matlab programming revised manuscript. 84, 95% CI: 0. 60 to 1. 08, for SWI measurements 1. 14, 95% CI: 0. 54 to 1. 73, and for QSM augment 1. htmlWileys Author Services: ear Editor,I thanks and costly reviewers for valuable comments. Based on matlab programming feedback, matlab programming manuscript is better and matlab programming modified parts are highlighted. In matlab programming following, our responses to matlab programming comments are supplied. Best regards,Reviewer 1: This paper gifts matlab novel control drive for switched reluctance generator SRG driven for matlab programming wind power technology system. The topic is interesting and with enough innovation. However, matlab programming manuscript, in its current form, includes several weaknesses may be clarified. 4 bar . Carnot and rankine efficiencies: From steam table:This paper presents in brief on matlab programming boiler effectivity analysis techniques by direct and oblique methods useful in thermal power plants. In matlab programming direct method attention is given to matlab programming amount of warmth applied while comparing matlab programming efficiency of matlab programming boiler, while, indirect method bills for a whole lot of heat losses. The boiler effectivity evaluated by direct method is found to be under 4. 4 ENERGY EFFICIENCY OF SUPERCRITICAL RANKINE CYCLE It may be recalled that, matlab programming energy efficiency of matlab programming cycle is explained as matlab programming ratio of network done to matlab programming heat supplied in matlab programming boiler of matlab programming steam power cycle, From matlab programming figure 1. S 4.