Predicting Electric Power Demand in China Based on HS-GM Model

For the sake of ensuring the smooth operation of electric industry, it is crucial to conduct precise electric power demand (EPD) prediction. Considering the insufficient fitting effect of traditional algorithms and the problem that grey model (GM) can only predict exponential data, we introduced the Harmony Search (HS) model to achieve the parameter, which can help address the aforementioned problems. The HS model is a bionic optimized algorithm which can help determine the adaptive vector instead of constant value in GM(1,1). Though the empirical analysis on China's electric power demand during the period of 2015–2022, the proposed HS-GM model has lower errors by 13.38%-28.04% than the other models, which has proved the superiority of HS-GM.