Critic self-learning approach to forecast short-term load

被引:0
|
作者
Lin, Zhi-Ling
Li, Hong-Ru
机构
[1] School of Electrical Engineering, Tianjin University of Technology, Tianjin 300191, China
[2] College of Information Science and Engineering, Northeast University, Shenyang 110004, China
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:5406 / 5410
相关论文
共 50 条
  • [1] A self-learning short-term traffic forecasting system
    Zhu, Jiasong
    Yeh, Anthony Gar-On
    ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2012, 39 (03): : 471 - 485
  • [2] An adaptive critic approach for self-learning stock trading
    Liu, DR
    Kong, Y
    Luxford, EG
    PROCEEDINGS OF THE IEEE/IAFE 1999 CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING, 1999, : 271 - 280
  • [3] Short-Term Load Forecast Based on Similar Daily Retrieval and Deep Learning
    Wei, Shouchen
    He, Cheng
    Zhang, Junling
    Sun, Fengzhan
    Jiang, Xueliang
    2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 1136 - 1142
  • [4] LSTM network: a deep learning approach for short-term traffic forecast
    Zhao, Zheng
    Chen, Weihai
    Wu, Xingming
    Chen, Peter C. Y.
    Liu, Jingmeng
    IET INTELLIGENT TRANSPORT SYSTEMS, 2017, 11 (02) : 68 - 75
  • [5] Short-term aggregated load and distributed generation forecast using fuzzy grouping approach
    Rejc, Matej
    Einfalt, Alfred
    Gawron-Deutsch, Tobias
    2015 INTERNATIONAL SYMPOSIUM ON SMART ELECTRIC DISTRIBUTION SYSTEMS AND TECHNOLOGIES (EDST), 2015, : 212 - 217
  • [6] Progressive Short-Term Household Load Demand Forecast: A Dual-Model Approach
    Silva, Jaoo
    Bartolomeu, Paulo C.
    2022 IEEE 8TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT, 2022,
  • [7] Combined short-term load forecast with accumulated temperature effect
    Jiang, Jiandong
    Cheng, Zhihao
    Zhu, Mingjia
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2011, 31 (10): : 28 - 31
  • [8] SHORT-TERM LOAD FORECAST IN ELECTRIC ENERGY SYSTEM IN BULGARIA
    Asenova, Irina
    Georgiev, Dimitar
    ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2010, 8 (04) : 102 - 106
  • [9] An ensemble approach for short-term load forecasting by extreme learning machine
    Li, Song
    Goel, Lalit
    Wang, Peng
    APPLIED ENERGY, 2016, 170 : 22 - 29
  • [10] Study of the Short-Term Electric Load Forecast Based on ANFIS
    Peng, Junran
    Gao, Shengyu
    Ding, Anzi
    2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2017, : 832 - 836