Hybrid convolutional long short-term memory models for sales forecasting in retail

被引:0
|
作者
de Castro Moraes, Thais [1 ,2 ]
Yuan, Xue-Ming [2 ,3 ]
Chew, Ek Peng [1 ]
机构
[1] Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore
[2] Singapore Institute of Manufacturing Technology, Agency for Science Technology and Research (A*STAR), Singapore
[3] Institute of Operations Research and Analytics, National University of Singapore, Singapore, Singapore
来源
Journal of Forecasting | / 43卷 / 05期
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Complex networks - Convolution - Convolutional neural networks - Costs - Deep neural networks - Forecasting - Learning systems - Memory architecture - Network architecture - Sales
引用
收藏
页码:1278 / 1293
相关论文
共 50 条
  • [41] SOME TECHNIQUES OF SHORT-TERM SALES FORECASTING
    WAGLE, B
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN, 1966, 16 (03) : 253 - 273
  • [42] A Study on Short-term Forecasting of Grape Sales
    Ma, Kaiping
    Zhang, Dongqing
    Zhang, Yinglei
    ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 2319 - +
  • [43] Short-Term Solar Power Forecasting and Uncertainty Analysis Using Long and Short-Term Memory
    Zhang, Wei
    JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS, 2021, 16 (12) : 1948 - 1955
  • [44] Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting
    Qi, Yuanhang
    Luo, Haoyu
    Luo, Yuhui
    Liao, Rixu
    Ye, Liwei
    ENERGIES, 2023, 16 (17)
  • [45] Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network
    Frank, Corinna
    Russwurm, Marc
    Fluixa-Sanmartin, Javier
    Tuia, Devis
    FRONTIERS IN WATER, 2023, 5
  • [46] Prediction of Wind Speed and Direction using Encoding - forecasting Network with Convolutional Long Short-term Memory
    Sari, Anggraini Puspita
    Suzuki, Hiroshi
    Kitajima, Takahiro
    Yasuno, Takashi
    Prasetya, Dwi Arman
    Rabi, Abd.
    2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2020, : 958 - 963
  • [47] Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
    Ghimire, Sujan
    Deo, Ravinesh C.
    Raj, Nawin
    Mi, Jianchun
    APPLIED ENERGY, 2019, 253
  • [48] Forecasting the PV Power Utilizing a Combined Convolutional Neural Network and Long Short-Term Memory Model
    Raman, Ramakrishnan
    Mewada, Bhaveshkumar
    Meenakshi, R.
    Jayaseelan, G. M.
    Sharmila, K. Soni
    Taqui, Syed Noeman
    Al-Ammar, Essam A.
    Wabaidur, Saikh Mohammad
    Iqbal, Amjad
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2024, 52 (02) : 233 - 249
  • [49] COMPARATIVE STUDY OF CONVOLUTIONAL NEURAL NETWORK AND LONG SHORT-TERM MEMORY NETWORK FOR SOLAR IRRADIANCE FORECASTING
    Behera, Sasmita
    Bhoi, Sapnil S.
    Mishra, Asutosh
    Nayak, Silon S.
    Panda, Subrat K.
    Patnaik, Soumik S.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2022, 17 (03): : 1845 - 1856
  • [50] Production Forecasting with the Interwell Interference by Integrating Graph Convolutional and Long Short-Term Memory Neural Network
    Du, Enda
    Liu, Yuetian
    Cheng, Ziyan
    Xue, Liang
    Ma, Jing
    He, Xuan
    SPE RESERVOIR EVALUATION & ENGINEERING, 2022, 25 (02) : 197 - 213