A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques

被引：1
|
作者：
Iqbal, Muhammad Sajid [1 ]
Adnan, Muhammad [1 ]
Mohamed, Salah Eldeen Gasim [2 ]
Tariq, Muhammad [3 ]
机构：
[1] Department of Electrical Engineering of the National University of Computer and Emerging Sciences, Chiniot-Faisalabad, Pakistan
[2] Department of Electrical Power and Machines, Sudan University of Science and Technology, Sudan
[3] Department of Electrical Engineering of the National University of Computer and Emerging Sciences, Islamabad, Pakistan
来源：
Results in Engineering | 2024年 / 24卷
关键词：
All Open Access; Gold;
D O I：
10.1016/j.rineng.2024.103560
中图分类号：
学科分类号：
摘要：
65
引用
收藏
相关论文
共 50 条
  • [21] Short-term load forecasting based on deep learning model
    Kim D.
    Jin-Jo H.
    Park J.-B.
    Roh J.H.
    Kim M.S.
    Transactions of the Korean Institute of Electrical Engineers, 2019, 68 (09): : 1094 - 1099
  • [22] Ensemble deep learning method for short-term load forecasting
    Guo, Haibo
    Tang, Lingling
    Peng, Yuexing
    2018 14TH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS (MSN 2018), 2018, : 86 - 90
  • [23] Hybrid Short-Term Load Forecasting using the Hadoop MapReduce Framework
    Deng, Buqing
    Wen, Yunfeng
    Yuan, Peng
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [24] Robust and automatic data cleansing method for short-term load forecasting of distribution feeders
    Huyghues-Beaufond, Nathalie
    Tindemans, Simon
    Falugi, Paola
    Sun, Mingyang
    Strbac, Goran
    APPLIED ENERGY, 2020, 261
  • [25] A hybrid short-term load forecasting with a new input selection framework
    Ghofrani, M.
    Ghayekhloo, M.
    Arabali, A.
    Ghayekhloo, A.
    ENERGY, 2015, 81 : 777 - 786
  • [26] Short-Term Load Forecasting Based on a Improved Deep Belief Network
    Zhang, Xiaoyu
    Wang, Rui
    Zhang, Tao
    Zha, Yabin
    2016 INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE), 2016, : 339 - 342
  • [27] A Hybrid Residential Short-Term Load Forecasting Method Using Attention Mechanism and Deep Learning
    Ji, Xinhui
    Huang, Huijie
    Chen, Dongsheng
    Yin, Kangning
    Zuo, Yi
    Chen, Zhenping
    Bai, Rui
    BUILDINGS, 2023, 13 (01)
  • [28] Comparison of Short-Term Load Forecasting Techniques
    Sethi, Rajat
    Kleissl, Jan
    2020 IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY (SUSTECH), 2020,
  • [29] Short-term nodal load forecasting based on machine learning techniques
    Lu, Dan
    Zhao, Dongbo
    Li, Zuyi
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (09):
  • [30] A Secure Federated Learning Framework for Residential Short-Term Load Forecasting
    Husnoo, Muhammad Akbar
    Anwar, Adnan
    Hosseinzadeh, Nasser
    Islam, Shama Naz
    Mahmood, Abdun Naser
    Doss, Robin
    IEEE Transactions on Smart Grid, 2024, 15 (02) : 2044 - 2055
12345