Unlock instant, AI-driven research and patent intelligence for your innovation.

A Reservoir Availability Forecast Method Based on Improved Quantum Grey Wolf Algorithm

A water supply and reservoir technology, which is applied in the field of reservoir availability forecasting based on the improved quantum gray wolf algorithm, can solve the problems of local convergence and poor initial population diversity, and achieves faster algorithm convergence, improved initial population diversity, and improved forecasting. The effect of precision

Active Publication Date: 2021-03-23
ZHEJIANG UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the poor initial population diversity of the traditional gray wolf algorithm, which is easy to fall into local convergence and other defects, the present invention proposes an improved quantum gray wolf algorithm and applies it to the parameter optimization of the water supply forecast model of the reservoir, which can realize global optimization. Improve computational efficiency and forecast accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Reservoir Availability Forecast Method Based on Improved Quantum Grey Wolf Algorithm
  • A Reservoir Availability Forecast Method Based on Improved Quantum Grey Wolf Algorithm
  • A Reservoir Availability Forecast Method Based on Improved Quantum Grey Wolf Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0048] Such as figure 1 As shown, a method for predicting the water availability of a reservoir based on the improved quantum gray wolf algorithm includes the following steps:

[0049] Step 1: Obtain the basic information data of the forecast object, and standardize the sample data;

[0050] Step 2: Determine the impact factors and predictors, and establish a forecast model based on machine learning methods;

[0051] Step 3: Execute the improved quantum gray wolf algorithm to optimize the parame...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

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.

Description

technical field [0001] The invention belongs to the technical field of hydrological forecasting, and in particular relates to a method for forecasting water availability of a reservoir based on an improved quantum gray wolf algorithm. Background technique [0002] Accurate and timely forecasting of reservoir water supply is conducive to formulating scientific and reasonable operation plans for reservoirs, improving water resource utilization and promoting comprehensive benefits of reservoirs, which has important economic and social benefits. The machine learning method represented by the artificial neural network model does not need to deeply understand the physical mechanism of each key link in the water cycle system, such as infiltration, evaporation, runoff, and confluence, and it has strong nonlinear fitting ability and simple model construction. And received much attention. The use of intelligent optimization algorithms to train and learn model parameters has been prov...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00G06Q10/04G06N3/00G06N20/10G06Q50/06
CPCG06N3/006G06Q10/04G06Q50/06G06N20/10
Inventor 郭玉雪许月萍孙梦成尤延锋
Owner ZHEJIANG UNIV