Short-term prediction of BP neural network based on difference method

被引：2
|
作者：
Hu Menghui [1 ]
Liu Yian [1 ]
机构：
[1] Jiangnan Univ, Sch Artificil Intelligence & Comp Sci, Wuxi, Jiangsu, Peoples R China
来源：
2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020) | 2020年
关键词：
differencemethods; BP neural net; time series prediction;
D O I：
10.1109/DCABES50732.2020.00024
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Aiming at the problem of short-term time series forecasting, a neural network based on the difference method(DMBP) is proposed.And then using sunspot data and Mackey-Glass chaotic time series data to test the performance of DMBP.In the experiment,DMBP,BP neural network algorithms, support vector regression machine (SVR),and autoregressive integrated moving average model (ARIMA) are compared in two cases with a prediction length of 2, 5. Experiment resaults show that the prediction accuracy of the DMBP algorithm is significantly improved compared to the BP neural network, and it is far better than SVR. It is equivalent to the ARIMA algorithm in short-term prediction, but the DMBP modeling process is simpler than ARIMA.
引用
收藏
页码：58 / 61
页数：4
相关论文
共 50 条
  • [21] Short-term Runoff Prediction Optimization Method Based on BGRU-BP and BLSTM-BP Neural Networks
    He, Sheng
    Sang, Xuefeng
    Yin, Junxian
    Zheng, Yang
    Chen, Heting
    WATER RESOURCES MANAGEMENT, 2023, 37 (02) : 747 - 768
  • [22] Short-term Runoff Prediction Optimization Method Based on BGRU-BP and BLSTM-BP Neural Networks
    Sheng He
    Xuefeng Sang
    Junxian Yin
    Yang Zheng
    Heting Chen
    Water Resources Management, 2023, 37 : 747 - 768
  • [23] Optimization of PSO-BP neural network for short-term wind power prediction
    Miao, Lu
    Fan, Wei
    Liu, Yu
    Qin, Yingjie
    Chen, Deyang
    Cui, Jiayan
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2024, 19 : 2687 - 2692
  • [24] A Comparison of NARX and BP Neural Network in Short-term Building Cooling Load Prediction
    Xu, Yanli
    Chen, Hongxun
    Guo, Wang
    Zhu, Qiuyu
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 1545 - 1548
  • [25] Short-term wind speed forecasting based on long short-term memory and improved BP neural network
    Chen, Gonggui
    Tang, Bangrui
    Zeng, Xianjun
    Zhou, Ping
    Kang, Peng
    Long, Hongyu
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 134
  • [26] Short-term prediction of solar proton events by neural network method
    Gong, JC
    Xue, BS
    Liu, SQ
    Zou, ZM
    Miao, J
    Wang, JL
    CHINESE ASTRONOMY AND ASTROPHYSICS, 2004, 28 (02) : 174 - 182
  • [27] Remaining Useful Life Prediction Method Based on Convolutional Neural Network and Long Short-Term Memory Neural Network
    Zhao, Kaisheng
    Zhang, Jing
    Chen, Shaowei
    Wen, Pengfei
    Ping, Wang
    Zhao, Shuai
    2023 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE, PHM, 2023, : 336 - 343
  • [28] Short-Term Wind Power Prediction Based on a Hybrid Markov-Based PSO-BP Neural Network
    Wang, Chia-Hung
    Zhao, Qigen
    Tian, Rong
    ENERGIES, 2023, 16 (11)
  • [29] Short-term prediction of photovoltaic power generation based on a PFA-MBAS-BP neural network model
    Zuo Y.
    Huang Y.
    Yang X.
    Wu H.
    Liu H.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (15): : 84 - 91
  • [30] Research on Short-term Module Temperature Prediction Model Based on BP Neural Network for Photovoltaic Power Forecasting
    Sun, Yujing
    Wang, Fei
    Zhen, Zhao
    Mi, Zengqiang
    Liu, Chun
    Wang, Ba
    Lu, Jing
    2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
12345