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

Quotation determination method and device, equipment and storage medium

A technology for determining methods and algorithms, applied in the field of electric power, can solve problems such as unsuitable bidding strategies, poor practicability, roughness, etc., and achieve the effect of maximizing market revenue

Pending Publication Date: 2020-09-22
SOUTHEAST UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional research method of bidding strategy of resource suppliers is mainly based on the game theory method, which is very useful for theoretically exploring the optimal bidding strategy of market members and roughly researching the bidding behavior of resource suppliers, but due to The inherent flaws of the game theory method make it not very practical, so it is not suitable for studying the complete bidding strategy, and the simulation results obtained are not accurate

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
  • Quotation determination method and device, equipment and storage medium
  • Quotation determination method and device, equipment and storage medium
  • Quotation determination method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] figure 1 It is a flow chart of a quotation determination method provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of performing quotation simulation on target resources. The method can be executed by a quotation determination device, which can use software and / or implemented in a hardware manner, the apparatus may be configured in a terminal device. Specifically include the following steps:

[0028] S110. Obtain the measured state parameter and the measured resource parameter of the target resource.

[0029] Wherein, for example, the target resource may be a hardware device, such as an ultrasonic device, or an energy material, such as steel, or a food product, such as milk.

[0030] The reinforcement learning algorithm consists of five parts, which are agent, state parameter, action parameter, reward parameter and environment. The agent will make corresponding actions according to the input state parameters, and the en...

Embodiment 2

[0047] figure 2 It is a flow chart of a quotation determination method provided in Embodiment 2 of the present invention, and the technical solution of this embodiment is further refined on the basis of the foregoing embodiments. Optionally, the target quotation model is trained based on a deep reinforcement learning algorithm, including: obtaining sample state parameters and sample resource parameters of the target resource, and inputting the sample state parameters and sample resource parameters into the initial quotation model; wherein , the sample resource parameter includes at least one sample quotation coefficient; determine the sample data according to the output result of the initial quotation model, and save the sample data in the experience playback pool; wherein, the sample data includes the initial quotation model output the predicted revenue; according to the preset training frequency, based on the sample data stored in the experience playback pool, determine the c...

Embodiment 3

[0075] image 3 It is a flow chart of a quotation determination method provided in Embodiment 3 of the present invention, and the technical solution of this embodiment is further refined on the basis of the foregoing embodiments. Optionally, determine the next sample state parameter according to the current sample quotation coefficient provided by different resource objects based on the current sample state parameter; wherein, the resource object includes a resource object corresponding to the initial quotation model; according to the following This state parameter determines the standard return corresponding to the current sample state parameter.

[0076] The specific implementation steps of this embodiment include:

[0077] S310. Obtain sample state parameters and sample resource parameters of the target resource, and input the initial sample state parameters and sample resource parameters into the initial quotation model.

[0078] S320. Determine sample data according to ...

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 embodiment of the invention discloses a quotation determination method and device, equipment and a storage medium. The method comprises the steps that tested state parameters and tested resource parameters of a target resource are acquired, and the tested resource parameters comprise at least one tested quotation coefficient; and the tested state parameters and the tested resource parameters are input into a pre-trained target quotation model to obtain an output target quotation coefficient and a target income corresponding to the target quotation coefficient, wherein the target quotationmodel is obtained by training based on a deep reinforcement learning algorithm. According to the embodiment of the invention, the target quotation model is trained based on the deep reinforcement learning algorithm, the problem that incomplete information affects quotation accuracy is solved, and an optimal quotation decision is provided for suppliers of target resources, so that the market revenue of the suppliers is maximized.

Description

technical field [0001] The embodiments of the present invention relate to the field of electric power technology, and in particular, to a method, device, equipment, and storage medium for determining quotations. Background technique [0002] In the market environment, resource suppliers always optimize their own bidding strategies in order to obtain higher profits. Since resource suppliers are not yet familiar with the market environment and cannot grasp complete market information, they need a sound quotation strategy theory as a guide. An efficient quotation decision-making tool can help decision makers and quotation personnel make a successful quotation and obtain high profits. In addition, researching and deducing the quotation behavior of resource suppliers will also help market regulators to investigate the behavior of resource suppliers, thereby identifying loopholes in market rules and continuously improving market policies and regulations. [0003] Since market in...

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
IPC IPC(8): G06Q30/06G06Q50/06G06N3/08
CPCG06N3/08G06Q30/0611G06Q50/06
Inventor 王蓓蓓杨朋朋撖晨宇
Owner SOUTHEAST UNIV