# Power Load Demand Forecasting Model and Method Based on Multi-Energy Coupling
## 2 Power Load Demand Analysis
### Key Influencing Factors  
The factors that affect the total load demand in the area are mainly the development law of load itself and social and economic development [15; 19]. For the multi-energy coupling self-sufficient power, the main influencing factors are the direct offset effect of regional energy production, the energy economic market, etc. Combined with the difficulty of data acquisition and the actual calculated data, this paper sets the key influencing factors as shown in Table 3.  
In the study of various energy supplies, this paper chose the directly related power indicators, rather than the natural indicators such as climate, temperature, hydrology, and system indicators such as composition and structure. The reasons are as follows: at the present stage, the comprehensive energy system is widely distributed, the multi-energy coupling structure is not consistent, and the system size is different. It is difficult to identify the characteristics of natural conditions, and the statistical error is large, which is not conducive to forecasting. Based on the above reasons, its load forecasting calculation framework in the case of multi-energy coupling is shown in Figure 5.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline  & **Multi-Energy on the** & **Multi-Energy on the** & **Interactive Coupling Mode** \\  & **Supply Side** & **Demand Side** & **of Supply and Demand** \\ \hline \multirow{4}{*}{Subject} & All kinds of renewable & \multirow{2}{*}{Commerce, industry, agriculture, government, public utilities, etc.} & All kinds of energy suppliers, all kinds of energy users, Internet of vehicles, virtual power plants, etc. \\  & & & \\ \hline \multirow{4}{*}{Coupling design rationale} & Spatial and temporal & Different loads vary in & Spatio-temporal difference, information interaction, economy, and benefit \\  & differences of different & time, flexibility, and & \\ \cline{1-1}  & primary energy sources & economic requirements & difference between supply and demand \\ \hline \multirow{2}{*}{Typical coupling mode} & Multi-energy coupling & Multistage utilization of & Interaction of supply and demand \\  & power generation & energy & \\ \hline \multirow{2}{*}{The coupling efficiency} & Energy self-sufficiency & Energy saving & Reduce dispatch difficulty and improve economic benefit \\ \hline \hline \end{tabular}
\end{table}
Table 2: Multi-energy coupling mechanism analysis.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**The Key Content** & **Decomposition of Content** & **Impact Factor** \\ \hline \multirow{4}{*}{Total demand of all loads} & \multirow{2}{*}{Industrial structure} & GDP current value \\  & & Price index \\ \cline{3-3}  & & Contribution rate of primary industry \\ \cline{3-3}  & Industrial structure & Contribution rate of secondary industry \\ \cline{3-3}  & & Quarterly contribution rate of tertiary industry \\ \cline{3-3}  & Coupling efficiency & Total fixed asset investment \\ \hline \multirow{4}{*}{Energy self-sufficiency} & \multirow{4}{*}{Renewable energy generation} & Wind power generation \\  & & Solar power generation \\ \cline{3-3}  & & Hydropower generation \\ \cline{3-3}  & & Other renewable energy power generation \\ \cline{2-3}  & Gas turbine installations, & Natural gas production \\ \cline{3-3}  & Other energy & - \\ \cline{3-3}  & Energy economy & Fuel price index \\ \cline{3-3}  & & Investment \\ \hline \hline \end{tabular}
\end{table}
Table 3: Key influencing factors of load demand under the scenario of multi-energy coupling.