NEURAL NETWORK BASED SHORT-TERM LOAD FORECASTING

被引：186
|
作者：
LU, CN [1 ]
WU, HT [1 ]
VEMURI, S [1 ]
机构：
[1] HARRIS CORP,DIV CONTROLS & COMPOSIT,MELBOURNE,FL 32901
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 1993年 / 8卷 / 01期
关键词：
SHORT TERM LOAD FORECASTING; ARTIFICIAL NEURAL NETWORKS; WEATHER SENSITIVE LOAD FORECAST;
D O I：
10.1109/59.221223
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The artificial neural network (ANN) technique for short term oad forecasting (STLF) has been proposed by several authors, and gained a Lot of attention recently. In order to evaluate ANN as a viable technique for STLF, one has to evaluate the performance of ANN methodology for practical considerations of STLF probLems. This paper makes an attempt to address these issues. The paper presents the results of a study to investigate whether the ANN modeL is system dependent, and/or case dependent. Data from two utilities were used in modeling and forecasting. In addition, the effectiveness of a next 24 hour ANN model in predicting 24 hour Load profile at one time was compared with the traditional next one hour ANN model.
引用
收藏
页码：336 / 342
页数：7
相关论文
共 50 条
  • [1] Short-Term Load Forecasting Based on RBF Neural Network
    Zhao, Bing
    Liang, Yue
    Gao, Xin
    Liu, Xin
    3RD ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2018), 2018, 1069
  • [2] Neural Network Based Approach for Short-Term Load Forecasting
    Osman, Zainab H.
    Awad, Mohamed L.
    Mahmoud, Tawfik K.
    2009 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION, VOLS 1-3, 2009, : 1162 - +
  • [3] Artificial neural network based short-term load forecasting
    Munkhjargal, S
    Manusov, VZ
    KORUS 2004, VOL 1, PROCEEDINGS, 2004, : 262 - 264
  • [4] Short-term load forecasting based on fuzzy neural network
    Wang, Cuiru
    Cui, Zhikun
    Chen, Qi
    IITA 2007: WORKSHOP ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, PROCEEDINGS, 2007, : 335 - 338
  • [5] Short-term Load Forecasting Based on BP Neural Network
    Li Yan-bin
    Li Peng
    Li Guan-hong
    ICPOM2008: PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE OF PRODUCTION AND OPERATION MANAGEMENT, VOLUMES 1-3, 2008, : 1182 - 1186
  • [6] Neural network design for short-term load forecasting
    Charytoniuk, W
    Chen, MS
    DRPT2000: INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, PROCEEDINGS, 2000, : 554 - 561
  • [7] The neural network model based on PSO for short-term load forecasting
    Sun, Wei
    Zhang, Ying-Xia
    Li, Fang-Tao
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3069 - +
  • [8] Confidence intervals for neural network based short-term load forecasting
    da Silva, AP
    Moulin, LS
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (04) : 1191 - 1196
  • [9] Short-term electric load forecasting based on a neural fuzzy network
    Ling, SH
    Leung, FHF
    Lam, HK
    Tam, PKS
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2003, 50 (06) : 1305 - 1316
  • [10] Short-Term Load Forecasting Based on RBM and NARX Neural Network
    Zhang, Xiaoyu
    Wang, Rui
    Zhang, Tao
    Wang, Ling
    Liu, Yajie
    Zha, Yabing
    INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III, 2018, 10956 : 193 - 203
12345