Power Load Forecasting Based on Swarm Intelligence Algorithm

With the electrical load of the power grid being the research object, the environmental factor of electric power load data fluctuation and electric power load data’ characters are analyzed and discussed. The paper puts forward the Grey prediction Model based on Invasive Weed Optimization (IWO-GM) specific to error accumulation and low accuracy present in the process for solving a and b with the least square method in the original grey prediction model. The error analysis dimension extends from absolute error and relative error to mean absolute error, average absolute percentage error, mean square error, and root-mean-square error for more comprehensive comparisons and analyses of the three prediction algorithms (ARMA, GM and IWO-GM).