Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction-Reference-Cited by-同舟云学术

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Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction

Published:2022-07 Issue:4 Volume:13 Page:2999-3013
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Kim Nakyoung¹^ORCID,Park Hyunseo²,Lee Joohyung³^ORCID,Choi Jun Kyun²^ORCID

Affiliation:

1. Institute for Information Technology Convergence, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

2. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

3. School of Computing, Gachon University, Seongnam, Republic of Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation

Korea Government

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/9801905/09732470.pdf?arnumber=9732470

Reference43 articles.

1. Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications

2. Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals

3. Convolutional Autoencoder Based Feature Extraction and Clustering for Customer Load Analysis

4. Missing-Insensitive Short-Term Load Forecasting Leveraging Autoencoder and LSTM

5. EGA-STLF: A Hybrid Short-Term Load Forecasting Model

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4. Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system;Engineering Applications of Artificial Intelligence;2024-07

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