Multi-source data fusion and intelligent prediction system for digital energy transaction

CN119783969AInactive Publication Date: 2025-04-08JIANGSU SHARE SUN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202411867035.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-04-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing technology has shortcomings in the integration of multi-source data, real-time analysis and prediction, and transaction decision optimization in digital energy transactions, resulting in data silos, insufficient accuracy and real-time performance of prediction models, limited data processing capabilities, and poor user interaction experience.

Method used

Design a multi-source data fusion and intelligent prediction system, including original data collection unit, data processing fusion unit, analysis and prediction unit, transaction decision-making unit, user interaction unit and comprehensive processing unit, to improve the response speed and decision-making accuracy of the energy market through efficient data collection, processing, analysis and user interaction.

Benefits of technology

It realizes efficient integration of multi-source data and real-time analysis and prediction, improves the efficiency and accuracy of transaction decisions, reduces transaction risks caused by data silos and information lag, and improves user experience and overall system performance.

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Abstract

The invention provides a multi-source data fusion and intelligent prediction system for digital energy transaction. The system comprises an original data collection unit, a data processing and fusion unit, an analysis and prediction unit, a transaction decision unit, a user interaction unit and a comprehensive processing unit for data interaction. Wherein the original data collection unit obtains real-time data from a plurality of data sources, the data sources comprise an intelligent electric meter, an energy management system, meteorological data, user behavior data and market price data, the data sources are collected in real time through an API interface and a data crawler, and the collected data are pre-cleaned and formatted in a unified mode; then the processed data are imported into a data processing fusion unit; and the data processing fusion unit performs data de-duplication and abnormal value detection on the received data after receiving the original data collection unit, and integrates the data from different sources through a data fusion algorithm after eliminating repeated data and abnormal value parameters to generate a comprehensive energy data view.
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Citation Information

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