A novel short-term load forecasting framework based on time-series clustering and early classification algorithm

被引：0
|
作者：
Chen, Zhe [1 ]
Chen, Yongbao [1 ,2 ]
Xiao, Tong [3 ]
Wang, Huilong [4 ,5 ]
Hou, Pengwei [6 ]
机构：
[1] School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai,200093, China
[2] Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai,200093, China
[3] Department of Mechanical Engineering, Tongji University, Shanghai,201804, China
[4] Department of Construction Management and Real Estate, Shenzhen University, Shenzhen,518052, China
[5] Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen,518052, China
[6] China Construction Third Bureau First Engineering Co., LTD, Shanghai,201100, China
来源：
Energy and Buildings | 2021年 / 251卷
关键词：
54;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Short-term Load Forecasting Based on Time Series Reconstruction and Support Vector Regression
    Chen, Wenying
    Chen, Xingying
    Liao, Yingchen
    Wang, Gang
    Yao, Jianguo
    Chen, Kai
    2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON), 2013,
  • [32] Short-Term Load Forecasting Using a Novel Deep Learning Framework
    Zhang, Xiaoyu
    Wang, Rui
    Zhang, Tao
    Liu, Yajie
    Zha, Yabing
    ENERGIES, 2018, 11 (06):
  • [33] Short-term Power Load Forecasting Based on Clustering and XGBoost Method
    Liu, Yahui
    Luo, Huan
    Zhao, Bing
    Zhao, Xiaoyong
    Han, Zongda
    PROCEEDINGS OF 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 2018, : 536 - 539
  • [34] A Novel Genetic Algorithm Based Dynamic Economic Dispatch With Short-Term Load Forecasting
    Kalakova, Aidana
    Nunna, H. S. V. S. Kumar
    Jamwal, Prashant K.
    Doolla, Suryanarayana
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (03) : 2972 - 2982
  • [35] A novel genetic-algorithm-based neural network for short-term load forecasting
    Ling, SH
    Leung, FHF
    Lam, HK
    Lee, YS
    Tam, PKS
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2003, 50 (04) : 793 - 799
  • [36] Forecasting method of multivariate time series applied in short-term electrical load forecasting
    Lei, Shaolan
    Sun, Caixin
    Zhou, Quan
    Deng, Qun
    Liu, Fan
    Gaodianya Jishu/High Voltage Engineering, 2005, 31 (12): : 69 - 72
  • [37] Short-term electric load forecasting based on series decomposition and Meta-Informer algorithm
    Li, Lianbing
    Guo, Xingchen
    Jing, Ruixiong
    ELECTRIC POWER SYSTEMS RESEARCH, 2025, 243
  • [38] From Time-Series to Hybrid Models: Advancements in Short-Term Load Forecasting Embracing Smart Grid Paradigm
    Ali, Salman
    Bogarra, Santiago
    Riaz, Muhammad Naveed
    Phyo, Pyae Pyae
    Flynn, David
    Taha, Ahmad
    APPLIED SCIENCES-BASEL, 2024, 14 (11):
  • [39] Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis
    Ghosh, Bidisha
    Basu, Biswajit
    O'Mahony, Margaret
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2009, 10 (02) : 246 - 254
  • [40] Analysis of an adaptive time-series autoregressive moving-average (ARMA) model for short-term load forecasting
    Chen, JF
    Wang, WM
    Huang, CM
    ELECTRIC POWER SYSTEMS RESEARCH, 1995, 34 (03) : 187 - 196
12345