Abstract
Short-Term Load Forecasting of Power System based on Neural Network Intelligent Algorithm
Highlights
IntroductionThe economy needs to develop and electricity is the first
The power industry is the lifeblood of the national economy
When the power generation is less than the consumption, it can not meet the needs of users, and even negatively affect the safety and stability of the entire power grid
Summary
The economy needs to develop and electricity is the first. Electricity plays a vital role in China's economic construction, national security, social stability, and quality of life. Accurate load forecasting can guide the power grid dispatching department to formulate an economic and reasonable dispatching plan, which is an effective measure to save energy, improve economic and social benefits, and provide important guarantee and development for normal social life and sustainable and healthy economic development [2]. From the perspective of economy and safety, it is necessary to keep the power generation of the power plant in line with the power consumption and maintain a dynamic balance. When the power generation is less than the consumption, it can not meet the needs of users, and even negatively affect the safety and stability of the entire power grid. In order to ensure the safe, stable and reasonable operation of the power system, it is necessary to deeply understand the changing characteristics of
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