Load forecasting using artificial neural networksand support vector regression

被引：0
|
作者：
De Rocco, Silvio Michel [1 ,3 ,4 ]
Aoki, Alexandre Rasi [2 ,4 ]
Lamar, Marcus Vinicius [3 ]
机构：
[1] Univ Fed Parana, Dept Elect Engn, UFPR Polytech Ctr, POB 19011, BR-80060000 Curitiba, Parana, Brazil
[2] LACTEC, Inst Technol Dev, UFPR Polytech Ctr, BR-81531980 Curitiba, Brazil
[3] Parana Energy Co, BR-81200240 Curitiba, Parana, Brazil
[4] Brasilia Fed Univ, Dept Comp Sci, BR-70919970 Curitiba, Parana, Brazil
来源：
PROCEEDINGS OF THE 7TH WSES INTERNATIONAL CONFERENCE ON POWER SYSTEMS: NEW ADVANCES IN POWER SYSTEMS | 2007年
关键词：
load forecasting; artificial neural networks; support vector regression;
D O I：
暂无
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：
This paper describes a short term load forecasting system using two different techniques of Artificial Intelligence: Recurrent Artificial Neural Networks and Support Vector Regression. A brief analysis of the load over the distribution systems connection points in Brazilian Parana States is also done.
引用
收藏
页码：36 / +
页数：2
相关论文
共 50 条
  • [21] Load Prediction Using Support Vector Regression
    Chong, Lee Wai
    Rengasamy, Divish
    Wong, Yee Wan
    Rajkumar, Rajprasad Kumar
    TENCON 2017 - 2017 IEEE REGION 10 CONFERENCE, 2017, : 1069 - 1074
  • [22] Forecasting Electricity Consumption with Neural Networks and Support Vector Regression
    Ogcu, Gamze
    Demirel, Omer F.
    Zaim, Selim
    8TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE, 2012, 58 : 1576 - 1585
  • [23] Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    Msiza, Ishmael S.
    Nelwamondo, Fulufhelo V.
    Marwala, Tshilidzi
    JOURNAL OF COMPUTERS, 2008, 3 (11) : 1 - 8
  • [24] Regional Load Clustering Integration Forecasting Based on Convolutional Neural Network Support Vector Regression Machine
    Shen Z.
    Yuan S.
    Dianwang Jishu/Power System Technology, 2020, 44 (06): : 2237 - 2244
  • [25] Forecasting Italian electricity market prices using a Neural Network and a Support Vector Regression
    Davo, Federica
    Vespucci, Maria T.
    Gelmini, Alberto
    Grisi, Paolo
    Ronzio, Daria
    2016 AEIT INTERNATIONAL ANNUAL CONFERENCE (AEIT) - SUSTAINABLE DEVELOPMENT IN THE MEDITERRANEAN AREA: ENERGY AND ICT NETWORKS OF THE FUTURE, 2016,
  • [26] Cash demand forecasting for ATM using neural networks and support vector regression algorithms
    Simutis, Rimvydas
    Dilijonas, Darius
    Bastina, Lidija
    20TH INTERNATIONAL CONFERENCE, EURO MINI CONFERENCE CONTINUOUS OPTIMIZATION AND KNOWLEDGE-BASED TECHNOLOGIES, EUROPT'2008, 2008, : 416 - +
  • [27] Application of support vector regression to temperature forecasting for short-term load forecasting
    Mori, Hiroyuki
    Kanaoka, Daisuke
    2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 1085 - 1090
  • [28] An incremental electric load forecasting model based on support vector regression
    Yang, YouLong
    Che, JinXing
    Li, YanYing
    Zhao, YanJun
    Zhu, SuLing
    ENERGY, 2016, 113 : 796 - 808
  • [29] Forecasting with computational intelligence - An evaluation of support vector regression and artificial neural networks for time series prediction
    Crone, Sven F.
    Lessmann, Stefan
    Pietsch, Swantje
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 3159 - +
  • [30] Support vector regression with asymmetric loss for optimal electric load forecasting
    Wu, Jinran
    Wang, You-Gan
    Tian, Yu-Chu
    Burrage, Kevin
    Cao, Taoyun
    ENERGY, 2021, 223
12345