(f)

**Figure 3.** (**a**–**f**) Analysis for resistance type circuit model in terms of power analysis, energy efficiency, QoS, accuracy, precision, recall.

Figure 4a–f show analysis for reactance circuit model. The proposed technique attained power analysis of 87%, energy efficiency of 95%, QoS of 75%, accuracy of 86%, precision of 83%, and recall of 75%, EMS achieved a power analysis of 82%, an energy efficiency of 89%, a QoS of 69%, an accuracy of 82%, a precision of 79%, and a recall of 69%, and 85% power analysis, 93% energy efficiency, 72% QoS, 82% accuracy, 81% precision, and 72% recall were achieved by LSTM.

**Figure 4.** *Cont*.

(d)

**Figure 4.** *Cont*.

**Figure 4.** (**a**–**f**) Analysis for reactance circuit model in terms of power analysis, energy efficiency, QoS, accuracy, precision, recall.

Figure 5a–f give analysis based on admittance network type circuit model. Power analysis of 88%, energy efficiency of 95%, QoS of 77%, accuracy of 93%, precision of 85%, recall of 77%, and QoS of 93% were achieved with the proposed technique. In comparison to LSTM, EMS achieved power analysis of 86%, energy efficiency of 93%, QoS of 76%, accuracy of 85%, precision of 81%, and recall of 72%. EMS also achieved energy efficiency of 91%, QoS of 75%, accuracy of 85%, and recall of 72%.

(a)

**Figure 5.** *Cont*.

(c)

**Figure 5.** *Cont*.

(d)

**Figure 5.** *Cont*.

**Figure 5.** (**a**–**f**) Analysis for admittance network type model in terms of power analysis, energy efficiency, QoS, accuracy, precision, recall.
