A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System-Reference-Cited by-同舟云学术

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A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System

Published:2022-07 Issue:4 Volume:13 Page:2703-2714
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Wang Chen¹^ORCID,Wang Ying¹^ORCID,Ding Zhetong¹^ORCID,Zheng Tao²,Hu Jiangyi²,Zhang Kaifeng¹^ORCID

Affiliation:

1. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China

2. NARI Group (State Grid Electric Power Research Institute) Company Ltd., NARI Technology Development Company Ltd., Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/9801905/09756020.pdf?arnumber=9756020

Reference28 articles.

1. Prediction of Heating Load and Cooling Load of Buildings Using Neural Network

2. Integrated Load Forecasting Model of Multi-Energy System Based on Markov Chain Improved Neural Network

3. Load Forecast of Gas Region Based on ARIMA Algorithm

4. Daily Natural Gas Load Forecasting Based on a Hybrid Deep Learning Model

5. Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine

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