Short-term load forecasting using radial basis function networks

被引：0
|
作者：
Gontar, Z [1 ]
Sideratos, G
Hatziargyriou, N
机构：
[1] Univ Lodz, Dept Comp Sci, PL-90131 Lodz, Poland
[2] Natl Tech Univ Athens, Sch Elect & Comp Engn, Athens, Greece
来源：
METHODS AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2004年 / 3025卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents results from the application of Radial Basis Function Networks (RBFNs) to Short-Term Load Forecasting. Short-term Load Forecasting is nowadays a crucial function, especially in the operation of liberalized electricity markets, as it affects the economy and security of the system. Actual load series from Crete are used for the evaluation of the developed structures providing results of satisfactory accuracy, retaining the advantages of RBFNs.
引用
收藏
页码：432 / 438
页数：7
相关论文
共 50 条
  • [1] Short-term load forecasting using radial basis function networks and expert system
    Zhang, T.
    Zhao, D.F.
    Zhou, L.
    Wang, X.F.
    Xia, D.Z.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2001, 35 (04): : 331 - 334
  • [2] Short-term electrical load forecasting using radial basis function neural networks considering weather factors
    Surender Reddy Salkuti
    Electrical Engineering, 2018, 100 : 1985 - 1995
  • [3] Short-term electrical load forecasting using radial basis function neural networks considering weather factors
    Salkuti, Surender Reddy
    ELECTRICAL ENGINEERING, 2018, 100 (03) : 1985 - 1995
  • [4] Application of radial basis function neural networks to short-term streamflow forecasting
    Kagoda, Paulo A.
    Ndiritu, John
    Ntuli, Celiwe
    Mwaka, Beason
    PHYSICS AND CHEMISTRY OF THE EARTH, 2010, 35 (13-14) : 571 - 581
  • [5] Development of Deep Generalized Radial Basis Function Network for Short-term Load Forecasting
    Miwa, Rikuto
    Mori, Hiroyuki
    IFAC PAPERSONLINE, 2023, 56 (02): : 378 - 383
  • [6] Short-term load forecasting model using fuzzy c Means based Radial Basis Function network
    Zhu, Youchan
    He, Yujun
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, 2006, : 579 - 582
  • [7] Extended normalised radial basis function for short term load forecasting
    Wadge, E
    Kodogiannis, V
    PROCEEDINGS OF THE FOURTH IASTED INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION, AND OPTIMIZATION, 2004, : 154 - 159
  • [8] Advanced radial basis function network (RBFN) and its application in short-term load forecasting
    Wang, Xin
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 1996, 16 (04): : 285 - 287
  • [9] APPLICATION OF RADIAL BASIS FUNCTION NEURAL-NETWORK MODEL FOR SHORT-TERM LOAD FORECASTING
    RANAWEERA, DK
    HUBELE, NF
    PAPALEXOPOULOS, AD
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1995, 142 (01) : 45 - 50
  • [10] Short-term electric power load forecasting based on cosine radial basis function neural networks: An experimental evaluation
    Karayiannis, NB
    Balasubramanian, M
    Malki, HA
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2005, 20 (06) : 591 - 605
12345