A method for measuring carbon emissions from power plants using a CNN-LSTM-Attention model with Bayesian optimization

被引：0
|
作者：
Chen, Jiacheng [1 ]
Zheng, Li [2 ]
Che, Wenyan [2 ]
Liu, Li [1 ,3 ]
Huang, Hui [4 ]
Liu, Jun [4 ]
Xing, Chang [1 ,3 ]
Qiu, Penghua [1 ,3 ]
机构：
[1] School of Energy Science and Engineering, Harbin Institute of Technology, Heilongjiang, Harbin,150001, China
[2] National Power Dispatching & Control Center, Beijing,100031, China
[3] Suzhou Research Institute of HIT, Jiangsu, Suzhou,215104, China
[4] State Grid Hubei Electric Research Institute, Hubei, Wuhan,430000, China
来源：
Case Studies in Thermal Engineering | 2024年 / 63卷
关键词：
Attention model - Bayesian optimization - Carbon measurement in power plant - CO 2 emission - Coal-fired power plant - Convolutional neural network - Long short-term memory neural network - Neural-networks - Power - Short term memory;
D O I：
10.1016/j.csite.2024.105334
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 22 条
  • [1] Enhancing photovoltaic power prediction using a CNN-LSTM-attention hybrid model with Bayesian hyperparameter optimization
    Zhou, Ning
    Shang, Bowen
    Xu, Mingming
    Peng, Lei
    Feng, Guang
    Global Energy Interconnection, 2024, 7 (05) : 667 - 681
  • [2] Enhancing photovoltaic power prediction using a CNN-LSTM-attention hybrid model with Bayesian hyperparameter optimization
    Ning Zhou
    Bowen Shang
    Mingming Xu
    Lei Peng
    Yafei Zhang
    Global Energy Interconnection, 2024, 7 (05) : 667 - 681
  • [3] A Text Sentiment Classification Modeling Method Based on Coordinated CNN-LSTM-Attention Model
    Zhang Yangsen
    Zheng Jia
    Jiang Yuru
    Huang Gaijuan
    Chen Ruoyu
    CHINESE JOURNAL OF ELECTRONICS, 2019, 28 (01) : 120 - 126
  • [4] A Text Sentiment Classification Modeling Method Based on Coordinated CNN-LSTM-Attention Model
    ZHANG Yangsen
    ZHENG Jia
    JIANG Yuru
    HUANG Gaijuan
    CHEN Ruoyu
    Chinese Journal of Electronics, 2019, 28 (01) : 120 - 126
  • [5] An Improved Hybrid CNN-LSTM-Attention Model with Kepler Optimization Algorithm for Wind Speed Prediction
    Huang, Yuesheng
    Li, Jiawen
    Li, Yushan
    Lin, Routing
    Wu, Jingru
    Wang, Leijun
    Chen, Rongjun
    Engineering Letters, 2024, 32 (10) : 1957 - 1965
  • [6] Enhanced detection of accounting fraud using a CNN-LSTM-Attention model optimized by Sparrow search
    Wu, Peifeng
    Chen, Yaqiang
    PeerJ Computer Science, 2024, 10 : 1 - 17
  • [7] Using Crested Porcupine Optimizer Algorithm and CNN-LSTM-Attention Model Combined with Deep Learning Methods to Enhance Short-Term Power Forecasting in PV Generation
    Fan, Yiling
    Ma, Zhuang
    Tang, Wanwei
    Liang, Jing
    Xu, Pengfei
    ENERGIES, 2024, 17 (14)
  • [8] Short-term passenger flow forecasting using CEEMDAN meshed CNN-LSTM-attention model under wireless sensor network
    Wang, Jiaxuan
    Wang, Rui
    Zeng, Xin
    IET COMMUNICATIONS, 2022, 16 (10) : 1253 - 1263
  • [9] LSTM-Attention-Embedding Model-Based Day-Ahead Prediction of Photovoltaic Power Output Using Bayesian Optimization
    Yang, Tongguang
    Li, Bin
    Xun, Qian
    IEEE ACCESS, 2019, 7 : 171471 - 171484
  • [10] Carbon emission measurement method of regional power system based on LSTM-Attention model
    Liu, Chao
    Tang, Xinzhong
    Yu, Fanfan
    Zhang, Delong
    Wang, Yubo
    Li, Jing
    SCIENCE AND TECHNOLOGY FOR ENERGY TRANSITION, 2024, 79
123