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Title:
URBAN ENERGY MULTI-SOURCE DATA FUSION METHOD BASED ON DEEP LEARNING AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/082453
Kind Code:
A1
Abstract:
An urban energy multi-source data fusion method based on deep learning and a storage medium. Data fusion is performed on urban energy multi-source data mined by means of big data, and multi-scale multi-modal information fusion is performed by means of cross-modal Transformer, so as to achieve mutual cross-modal fusion of multi-source heterogeneous data types, and obtain fusion features for predicting the use amount of future energy and the required energy manufacturing amount. The present invention provides a multi-scale cooperative multi-modal transformer architecture, so as to improve the representation effect learned from a non-aligned multi-modal sequence; and allows the system to be more lightweight by enhancing the correlation degree in urban energy multi-source data fusion. The present invention can provide help for refined management of urban energy and scientific demand-side management, thus facilitating development of an intelligent decision function module of an urban energy big data platform.

Inventors:
ZHU ZHENGYI (CN)
XU HONGHUA (CN)
ZHANG WEIYA (CN)
LIANG LONG (CN)
MA JINJIE (CN)
ZHOU HENGJUN (CN)
WANG WENDI (CN)
QIAN XIN (CN)
YANG LINQING (CN)
Application Number:
PCT/CN2022/143923
Publication Date:
April 25, 2024
Filing Date:
December 30, 2022
Export Citation:
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Assignee:
STATE GRID JIANGSU ELECTRIC POWER CO LTD NANJING POWER SUPPLY COMPANY (CN)
International Classes:
G06F18/25; G06N3/0464; G06Q10/04
Foreign References:
CN114463594A2022-05-10
CN114021628A2022-02-08
CN114239683A2022-03-25
US20220245424A12022-08-04
Other References:
LIANYANG MA; YU YAO; TAO LIANG; TONGLIANG LIU: "Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos", ARXIV.ORG, 16 June 2022 (2022-06-16), XP091252271
Attorney, Agent or Firm:
NANJING TIANYI PATENT AGENT CO., LTD. (CN)
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