Study on Load Forecasting of Combined Cooling, Heat and Power System with Deep Learning Algorithm Based on Attention Mechanism-Reference-Cited by-同舟云学术

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Study on Load Forecasting of Combined Cooling, Heat and Power System with Deep Learning Algorithm Based on Attention Mechanism

Published:2023-12-08 Issue: Volume:45 Page:1353-1358
ISSN:
Container-title:2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST)
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Author:

Qi Peiwen¹,Gao Wenzhong¹

Affiliation:

1. Shanghai Maritime University,Merchant Marine College,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502394/10502376/10503388.pdf?arnumber=10503388

Reference6 articles.

1. Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components

2. RNN-Transducer based Chinese Sign Language Recognition

3. Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm

4. District heater load forecasting based on machine learning and parallel CNN-LSTM attention

5. Pre-Attention Mechanism and Convolutional Neural Network Based Multivariate Load Prediction for Demand Response

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System;Mathematics;2024-06-20

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