Dynamic Multi-Indicator Fusion Model for Real-Time Prediction Analysis-Reference-Cited by-同舟云学术

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Dynamic Multi-Indicator Fusion Model for Real-Time Prediction Analysis

Published:2024-05-08 Issue: Volume: Page:1443-1448
ISSN:
Container-title:2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Zhou Tie Hua¹,Wang Ling¹,Zhao Huai Lin²,Ma Fu Tao²,Kou Lei³

Affiliation:

1. Northeast Electric Power University,School of Computer Science,Jilin,China

2. Langfang Branch China Mobile Group Hebei Co., Ltd.,Hebei,China

3. Qilu University of Technology(Shandong Academy of Sciences),Institute of Oceanographic Instrumentation,Qingdao,China

Funder

Technology Development

Natural Science Foundation of Shandong Province

Qilu University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580485.pdf?arnumber=10580485

Reference13 articles.

1. A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting

2. TransformGraph: A novel short-term electricity net load forecasting model

3. Short term load forecasting based on feature extraction and improved general regression neural network model

4. Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

5. A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India

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