A data processing method based on power trading
Through the data processing method based on power trading, users' carbon emissions are calculated and incentive mechanisms are built, which solves the problem of how to use power trading data to promote users' energy conservation and emission reduction, and realizes the effective construction of carbon emission incentive mechanisms and the efficiency of power trading data processing.
CN118972443BActive Publication Date: 2025-03-18BEIJING HUADIAN TIANREN ELECTRIC POWER CONTROL TECH
2 Cites 0 Cited by
Patent Information
- Application Number
- CN202410982160.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-22
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-07-22
AI Technical Summary
Technical Problem
How to build a carbon emission incentive mechanism based on power trading data to promote users to take energy-saving and emission reduction measures.
Method used
By collecting equipment electricity consumption data, classifying it into demand-type and non-essential-type, calculating user carbon emissions based on pre-developed comparison coefficients, building a balance tree and generating a trading pool, adjusting price tags in real time, and pushing feedback information to users.
Benefits of technology
It realizes an intuitive display of users' carbon emissions, encourages users to take energy-saving and emission reduction measures, improves the efficiency of power transaction data processing, and promotes the balance between power supply and demand.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention is applicable to the field of data processing technology, and in particular to a data processing method and system based on power trading, the method comprising: collecting power consumption data of equipment, and classifying the equipment, the classification comprising: demand type and non-essential type, and calculating the user's carbon emissions based on different comparison coefficients; taking the carbon emissions as the left node and the carbon index as the right node, and integrating the left node and the right node into a leaf node, and configuring the corresponding relationship between the leaf node and the user. The present invention can quickly determine the power consumption data that needs to be traded by constructing a balanced tree, thereby improving the data processing efficiency of power trading, and by constructing a trading pool, it can reduce carbon emissions while ensuring power demand, and by pushing feedback information to users, it can enable users to timely grasp their own carbon emissions data, thereby enhancing carbon emission awareness and adjusting life and power consumption behaviors.
Need to check novelty before this filing date? Find Prior Art