Intelligent park energy management and control method and system based on AI large model

By using AI big data models to perform detailed analysis and decentralized configuration of energy consumption changes in the smart park energy management system, the problem of local anomalies being masked by overall changes in existing technologies has been solved, and more stable energy regulation has been achieved.

CN122347321APending Publication Date: 2026-07-07INMARS (FUJIAN) INFORMATION TECH CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INMARS (FUJIAN) INFORMATION TECH CO LTD
Filing Date
2026-06-09
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing smart park energy management systems tend to identify the overall stable state when energy consumption fluctuations in multiple sub-regions are similar, ignoring local differences. This leads to the accumulation of potential abnormal states during continuous operation, affecting the reliability and security of the system.

Method used

By using a large AI model, energy consumption change data from multiple sub-regions is collected and analyzed. The magnitude and rhythm of the changes are extracted, and alignment comparisons and differences are broken down to reconstruct the change process. Consistent change segments and offset segments are distinguished, and offset changes are distributed to reduce the concentration of local energy consumption.

Benefits of technology

It enhances the ability to perceive and respond to potential abnormal changes, maintains the continuity and coordination of energy consumption distribution, and improves the stability and operational reliability of energy regulation processes.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122347321A_ABST
    Figure CN122347321A_ABST
Patent Text Reader

Abstract

The application discloses a wisdom park energy management and control method and system based on an AI large model, relates to the technical field of intelligent energy management, and comprises the following steps: collecting energy consumption change data of a plurality of sub-regions in a continuous time sequence, extracting corresponding change amplitudes and change rhythms for each time position, and constructing a continuous change record in time sequence; based on the continuous change record, aligning and comparing the change rhythms of each sub-region at the same time position, and splitting the apparent consistent change process into refined change results by calculating the change amplitude difference and the time offset. The application realizes the early identification and dynamic perception of local deviation by refining the description and difference splitting of energy consumption change, thereby improving the timeliness of abnormal discovery; meanwhile, by redistributing and dispersing the time of the deviation change, the energy consumption is prevented from being concentrated and superimposed in local time, thereby reducing the risk of load concentration and improving the continuity and operation stability of the energy regulation process.
Need to check novelty before this filing date? Find Prior Art