The weather conditions have a direct effect on cooling energy and heating energy consumption. Typical indicators are cooling degree and heating degree. For example, the coefficient of determination (square of correlation coefficient) between monthly heating day and monthly city gas consumption is as high as 0.87, and the determination coefficient between cooling degree and monthly power consumption is as high as 0.62.
The consumption of energy also shows a tendency to increase with the regional economic growth of Seoul. Gross Regional Domestic Product (GRDP) is a good indicator of the growth of the local economy. In this case, alternative indicators are needed to quickly identify economic conditions. Large retail store indexes are closely related to GRDP, so it is necessary to use economic indicators such as large retail store indexes. Therefore, it is desirable to identify various indicators affecting energy consumption.
It is also very important to express energy in accordance with national standards. Statistical units for each energy sources are expressed in their own units. In the case of petroleum products, they are expressed in terms of petroleum conversion tonnage (TOE : ton of oil  equivalent) because product types are various and calorific values are different from each other.
When the energy supply statistics are written, the unit of energy unit shall comply with the National Standard Act and shall be applied from the year after revision and enforcement of the application of the energy conversion standard. 
Seoul energy statistics should include not only energy data but also data on factors affecting energy consumption. Seoul energy statistics should include not only energy data but also data on factors affecting energy consumption.
Statistics on energy consumption in Seoul can not be prepared quickly, but energy supply statistics can be written relatively easily. 
Therefore, it is desirable to prepare it based on the provided by the energy provider. 
Energy consumption statistics and energy supply statistics have different classification schemes. Energy supply statistics by energy source is recommended for Seoul Energy Statistics, because statistics on energy supply by sector are not classified. Statistics on energy supply by sector shall be contained only partially.
The energy supply statistics are recorded as the sum of the energy consumption in terms of the final energy for each energy source. The energy supply statistics are recorded as the sum of the energy consumption of Seoul in terms of the final energy for each energy source. 
The Seoul Energy Statistics contains energy supply data by sources such as electric power, city gas, petroleum products, and district heat energy. It contains various indicators affecting energy consumption  include population statistics, economic and social statistics, building statistics, and weather statistics.
The most important characteristic of the Seoul Energy Statistics created through this study is the regional segmentation by Gu and the breakdown of the time by month. Current national statistics have a statistical lag time of about two years, but Seoul energy statistics can be shortened to three to six months.