Title:
ENERGY EFFICIENCY SERVICE SYSTEM AND METHOD BASED ON ARTIFICIAL-INTELLIGENCE-BASED EQUIPMENT USE PATTERN ANALYSIS
Document Type and Number:
WIPO Patent Application WO/2024/090662
Kind Code:
A1
Abstract:
Disclosed are an energy efficiency service system and method based on artificial-intelligence-based equipment use pattern analysis, which are for providing an energy efficiency service by analyzing a use pattern of consumer equipment on the basis of artificial intelligence. The energy efficiency service system based on artificial-intelligence-based equipment use pattern analysis, according to an embodiment of the present invention, comprises: a consumer equipment information reception unit for receiving first measured energy data about consumer equipment from a consumer terminal; and a consumer equipment operation information analysis unit for analyzing an operating rate and operating pattern per unit time of the consumer equipment on the basis of the first measured energy data. The consumer equipment operation information analysis unit determines a second artificial intelligence model corresponding to the type of consumer equipment by analyzing, using a first artificial intelligence model, the type of the consumer equipment on the basis of the first measured energy data, and analyzes the operating rate and operating pattern per unit time of the consumer equipment by analyzing, using the second artificial intelligence model, the first measured energy data.
Inventors:
AHN YOUNGHO (KR)
CHO SUNGUN (KR)
CHO SUNGUN (KR)
Application Number:
PCT/KR2022/019204
Publication Date:
May 02, 2024
Filing Date:
November 30, 2022
Export Citation:
Assignee:
RETIGRID CO LTD (KR)
International Classes:
G06Q50/06; F04B49/06; G05B23/02; G06N20/00; G06Q10/04; G06Q10/06; G06Q50/10
Domestic Patent References:
| WO2022026925A1 | 2022-02-03 |
Foreign References:
| KR20220064714A | 2022-05-19 | |||
| KR20220026872A | 2022-03-07 | |||
| JP4849373B1 | 2012-01-11 | |||
| KR101854913B1 | 2018-05-04 |
Attorney, Agent or Firm:
KANG, Il Shin et al. (KR)
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