# The Impact of Power Definitions on the Disaggregation of Home Loads for Smart Meter Measurements
## 5 Conclusions  
This paper proposes a non-intrusive load monitoring approach based on smart meter measurements, considering power grid distortions. The approach incorporates different power definitions and employs a genetic algorithm to optimize the objective function. Real-world data from various household appliances were used to evaluate the proposed method. Results demonstrate that the choice of power definitions significantly impacts appliance identification accuracy. Additionally, grid distortions adversely affect performance, particularly for classical and [PERSON]'s power definitions. However, [PERSON]'s power definition exhibits superior robustness against grid distortions.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Actual Turned-On Appliances**} & \multicolumn{3}{c}{\(A_{OAL}\)} \\ \cline{2-4}  & _Active Power_ & _[PERSON]’s_ & _[PERSON]’s_ \\ \hline 8 LED + 1 Flu + 1 VC + 1 WM + 1 DH + 1 Toa + 1 CM + 1 Ove + 1 AC + 2 Lap + 3 MP & 35.7\% & 78.5\% & 100\% \\ \hline 7 LED + 1 MO + 1 MP + 2 Lap + 1 Fri + 1 Toa + 1 OCve + 1 AC + 1 VC & 21.4\% & 64.2\% & 100\% \\ \hline 1 LED + 1 Flu + 1 VC + 1 WM + 1 DH + 1 Toa + 1 MO + 1 CM + 1 Ove + 1 AC + 2 Lap + 1 MP & 71.4\% & 100\% & 100\% \\ \hline 8 LED + 1 MO + 2 Lap + 1 LCD + 1 Toa + 1 DH & 28.5\% & 64.2\% & 71.4\% \\ \hline 3 LED + 2 Flu + 1 DH + 1 Toa + 1 MO + 2 AC + 1 LCD + 1 Lap + 2 MP & 28.5\% & 50\% & 78.5\% \\ \hline 1 LED + 1 VC + 1 WM + 1 DH + 1 MO + 1 Ove + 2 AC + 2 LCD + 2 Lap & 28.5\% & 50\% & 57.1\% \\ \hline 4 LED + 1 MP + 1 Ref + 1 Toa + 1 Ove + 1 CM + 1 AC & 21.4\% & 50\% & 64.2\% \\ \hline 6 LED + 3 MP + 3 Lap + 1 LCD + 2 Flu + 1 DH + 1 MC + 2 AC + 1 VC & 35.7\% & 42.8\% & 57.1\% \\ \hline 10 LED + 3 MP + 1 Lap + 1 Ref + 1 Toa + 1 Oven + 2 Flu + 1 WM + 2 AC & 28.5\% & 35.7\% & 50\% \\ \hline 1 MO + 1 Flu + 10 LED + 1 WM + 2 AC & 14.2\% & 57.1\% & 100\% \\ \hline \hline \end{tabular}
\end{table}
Table 6: Appliance identification accuracy for the proposed methods and for a grid voltage with 3.9% THD.  
\begin{table}
\begin{tabular}{c c c} \hline \hline \multicolumn{3}{c}{**OMA**} \\ \hline _Active Power_ & _[PERSON]’s_ & _[PERSON]’s_ \\ \hline \hline \(0.2\%\) & \(6.3\%\) & \(50.2\%\) \\ \hline \hline \end{tabular}
\end{table}
Table 7: Appliance identification accuracy for aggregated power loads and for a grid voltage with 3.9% THD.  
**Author Contributions:** Conceptualization, V.F.P., T.G.A., I.C. and A.C.; methodology, V.F.P. and J.F.M.; software, T.G.A. and A.C.; validation, V.F.P., A.C., T.G.A. and I.C.; formal analysis, V.F.P.; investigation, V.F.P., A.C., T.G.A., J.F.M. and I.C.; resources, V.F.P.; data curation, A.C.; writing--original draft preparation, V.F.P.; writing--review and editing, A.C., T.G.A. and I.C.; visualization, J.F.M.; supervision, T.G.A., I.C. and J.F.M.; project administration, T.G.A. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research received no external funding.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy.  
**Conflicts of Interest:** The authors declare no conflicts of interest.