An Intelligent Model Based On Parameter Optimized By Firefly Algorithm With Circle Adjustment For The Short-term Power Load Forecasting

Short-time power load forecasting is the guarantee of the healthy development of electric industry, it usually refers to the power load forecasting within a week.Binding characteristics of the power load sequence, the paper creatively construct an effective hybrid load forecasting model. In this paper, the creativity and demonstration of Fast Fourier transform is used to calculate the periodic of the power load data, where the cycle index adjustment is firstly introduced to preprocess the original load data. Meanwhile, the firefly algorithm optimization was presented to optimize the parameters of the Second-order adaptive coefficient method is ground-breaking. Finally, the performance of this proposed novel model is evaluated by one day-ahead load of three different electricity markets from the New South Wales, Queensland and Singapore. Experimental results shown that this novel model has a good performance by comparison with other previous approach.