基于改进微粒群优化的电力负荷生长曲线预测模型

摘要

On the basis of the research results published in existing relevant references,the logistic curve methodis are further improved and a new power load logistic curve-forecasting model is proposed based on improved particle swarm optimization (IPSOLM). And the result of the Power load gray-forecasting model based on particle swarm optimization (PSOGM)compares with the result of the new power load forecasting model. The practical example indicates that the new model has the characteristic of better precision and wider application field.%在现有文献研究的基础上,对生长曲线预测法作了进一步改进,提出了基于改进微粒群优化的电力负荷生长曲线预测模型,通过在电力负荷实例中的应用,并与基于微粒群优化的电力负荷灰色预测模型进行了效果比较,验证了基于改进微粒群优化的电力负荷生长曲线预测模型具有很好的预测精度和通用性.