In the Southern Region of China, Power Load Hits Record High Due to High Temperature and Good Economic Trend
TapTechNews July 15th news, according to the official news of South Grid 50Hz of the Southern Power Grid on July 14th, the continuous high temperature in the southern region in recent days, and the Central Meteorological Station continued to issue a yellow high temperature warning at 8 am on July 14th. There is a high temperature weather above 35 degrees Celsius (95 degrees Fahrenheit) in eastern Guangxi, most of Guangdong and other places. Affected by the high temperature and multiple factors of a good economic trend, around 5 pm on July 10th, the highest power load in the southern region reached 239 million kilowatts, setting a new historical high for the first time this year.
This year, in the five provincial regions of Guangdong, Guangxi, Yunnan, Guizhou, and Hainan served by the Southern Power Grid, more than 20 cities have set new historical highs in power consumption. After Guangzhou and Shenzhen, Dongguan has become the third city in the Guangdong-Hong Kong-Macao Greater Bay Area with a load exceedinging 20 million kilowatts.
TapTechNews learned from the official of the Southern Power Grid that in the power supply service area of the Southern Power Grid, the power consumption is significantly driven by high temperature. Among them, after the temperature in Guangdong exceeds 32 degrees Celsius (90 degrees Fahrenheit), every 1 degree Celsius increase in temperature drives a load of 3.8 million kilowatts. And since July 3rd, more than 100 high temperature warning signals have been in effect in Guangdong, driving the power consumption to continue to soar. In Guangzhou, Shenzhen, Jiangmen, Dongguan, Zhaoqing, Huizhou, Yunfu, Zhanjiang, Shanwei and other cities in Guangdong, the power consumption has broken the historical record one after another.
According to the introduction, the Southern Power Grid uses the AI load forecasting system to accurately capture the peak load moment according to the quantitative relationship between factors such as temperature and power consumption. Xiao Liang, a technical expert in the power dispatching and control center of the Southern Power Grid, believes that Using the whole-network integrated AI load forecasting technology not only solves the major production problem of the traditional extensive manual experience prediction that is prone to a tight balance between supply and demand, but also accurately identifies the quantitative relationship between factors such as temperature and power consumption. The benefit of AI in power supply guarantee is remarkable. At present, the average accuracy rate of AI load forecasting in the five southern provincial regions is above 98.5%.
