Research on Load Forecasting and Optimization Scheduling Methods for Power Systems Based on Artificial Neural Networks
The demand for electricity energy has significantly increased due to the development of social economy and livelihood construction.How to better meet the needs of social production and life is a key research topic in the current operation of the power system.Research has found that due to the special nature of electricity production and use that cannot be stored,it is necessary for the power system to maintain dynamic balance in response to changes in system load at all times in order to ensure power supply stability and safety.Load forecasting and optimization scheduling are key to ensuring the stability of the power system.With the support of artificial neural networks,the effectiveness of forecasting and scheduling can be significantly improved,and their positive effects are significant.
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