Electricity Load Combination Prediction Based on Fuzzy Clustering-Reference-Cited by-同舟云学术

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Electricity Load Combination Prediction Based on Fuzzy Clustering

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)
language:
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Author:

Huang Xianan¹,Jiang Wenjin²,Yang Xiaodong²,Hu Zhenda¹,Liu Lin¹,Tu Xiazhe¹,Guo Chuangxin³

Affiliation:

1. Energy Development Research Center, Economic and Technological Research Institute of State Grid Fujian Electric Power Co., LTD,Fuzhou,China

2. State Grid Fujian Electric Power Co. LTD,Department of Development,Fuzhou,China

3. College of Electrical Engineering Zhejiang University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165683/10165687/10165887.pdf?arnumber=10165887

Reference12 articles.

1. Application of time-series and Artificial Neural Network models in short term load forecasting for scheduling of storage devices

2. Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network[J/OL];k;Energy and Buildings,2023

3. Adaptive data decomposition based quantile-long-short-term memory probabilistic forecasting framework for power demand side management of energy system[J/OL];w;Computers & Electrical Engineering,2023

4. Support-vector networks[J/OL];c;Machine Learning,1995

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