Reservoir available water supply forecasting method based on improved quantum grey wolf algorithm

• Main Authors: GUO YUXUE, SUN MENGCHENG, XU YUEPING, YOU YANFENG
• Format: Patent
• Language: Chinese; English
• Published: 29.09.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a reservoir available water supply forecasting method based on an improved quantum grey wolf algorithm. The reservoir available water supply forecasting method comprises the following steps: firstly, acquiring basic information data of a forecasting object; secondly, determining an influence factor and a forecasting factor, and establishing a forecasting model based on a machine learning method; then executing an improved quantum grey wolf algorithm to optimize prediction model parameters; and finally, substituting the optimal parameters of each model into the model forensemble forecasting. According to the method, global optimization can be realized, the calculation efficiency is improved, and a new way can be provided for hydrological prediction. 本发明公开了一种基于改进量子灰狼算法的水库可供水量预报方法，步骤如下：首先获取预报对象基本信息数据；其次确定影响因子和预报因子，建立基于机器学习方法的预报模型；然后执行改进量子灰狼算法分别对预报模型参数进行优选；最后将各模型最优参数代入模型进行集合预报。本发明可实现全局寻优，提高计算效率，能够为水文预测预报提供新的途径。