## 3 Results and Discussion
### Electricity Sales Package Recommendation Analysis  
#### 3.2.1 Sample Customer Cluster Analysis  
Based on the AAP clustering algorithm proposed earlier, with a damping factor \(\lambda~{}=~{}0.8\), the sample customers are clustered, resulting in three main categories: commercial electricity customers, industrial customers, and residential customers. Based on the clustering results of the sample customers, the distances between the target customer \(R_{4}\)'s profile and the cluster centers of the three categories (commercial electricity customers, industrial customers, and residential customers) are calculated as 0.3563, 0.2097, and 0.5466, \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Electricity Sales Package** & **Unit Price/(Vuan-(kW-h)–1)** & **Additional Premium/\%** & **Value-Added Service** & **Incentive Policy** \\ \hline \multirow{4}{*}{\(A_{1}\)} & 0.53 (\(<\)500 kW-h) & & & Energy-saving management & On-time settlement of electricity discount 7\% \\ \cline{2-5}  & 0.67 (500–1000 kW-h) & & & \\ \hline \multirow{4}{*}{\(A_{2}\)} & 0.56 (\(<\)500 kW-h) & & & Power quality-improvement & Reward power ratio of 10\% \\ \cline{2-5}  & 0.63 (500–1000 kW-h) & & & services & of 10\% \\ \cline{2-5}  & 0.87 (\(>\)1000 kW-h) & & & & \\ \hline \multirow{4}{*}{\(A_{3}\)} & 0.85 (peak: 10:00–12:00, 13:00–19:00) & & & \\  & 0.60 (flat: 06:00–10:00, 12:00–13:00, 19:00–22:00) & & & \\ \cline{2-5}  & 0.30 (valley: 22:00–morrow 06:00) & & & \\ \hline \multirow{4}{*}{\(A_{4}\)} & 0.80 (peak: 10:00–12:00, 13:00–19:00) & & & \\  & 0.65 (flat: 06:00–10:00, 12:00–13:00, 19:00–22:00) & & & \\ \cline{1-1} \cline{2-5}  & 0.35 (valley: 22:00–morrow 06:00) & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Electricity sales package set provided by electricity retail company. respectively. Thus, it can be concluded that the target customer's similar customers are those in the residential customer category. The clustering results of the three categories of customers--commercial electricity customers, industrial electricity customers, and residential electricity customers--are shown in Figure 4. In addition, the results are as follows:  
1. The characteristic of commercial electricity customers is a relatively low electricity load, as the service industry generally does not require large energy-intensive equipment, resulting in a lower overall electricity load. The electricity demand in the service industry is usually stable, without significant fluctuations. The workforce typically works during the day, so electricity consumption is concentrated in daytime hours, with higher usage during the day. Therefore, the peak demand is mainly concentrated around noon, with a smaller peak occurring at 18:00 in the evening. 2. The characteristic of industrial electricity customers is that the industrial sector typically requires the extensive use of various machines, equipment, and heavy machinery, resulting in a high electricity load. The electricity demand in the industrial sector tends to experience smaller fluctuations, with heavy industry showing a relatively stable production load. Industrial electricity consumption is generally high, with electricity primarily used for production facilities and operations. Whether during the day or at night, energy consumption remains relatively high. 3. The characteristic of residential electricity customers is that their electricity load is relatively low, as residential electricity usage typically meets basic household needs such as lighting, appliances, heating, and air conditioning. Therefore, the electricity load for residential customers is relatively low. Residential electricity demand is concentrated in specific time periods, typically during morning and evening peak hours, as people leave for work in the morning and return home to rest in the evening, leading to higher electricity consumption. The power demand in residential households is mainly focused on lighting, home appliances, and entertainment devices, all of which generally have lower power ratings.