Short Term Load Forecasting of Indian System Using Linear Regression and Artificial Neural Network

被引：0
|
作者：
Patel, Harsh [1 ]
Pandya, Mahesh [1 ]
Aware, Mohan [2 ]
机构：
[1] Lukhadhirj Engn Coll, Dept Elect Engn, Morbi, India
[2] Visvesvaraya Natl Inst Technol, Dept Elect Engn, Nagpur, Maharashtra, India
来源：
2015 5TH NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING (NUICONE) | 2015年
关键词：
Short Term Load Forecasting (STLF); Linear Regression (LR); Artificial Neural Network (ANN); Levenberg-Marquardt Back Propagation (LMBP); MAPE; MAE;
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：
The hour ahead load forecasting is used for the reliable and proactive operation of the power system. The hour ahead load forecasting is a one type of Short Term Load Forecasting (STLF). The mostly STLF is used for the spinning reserve capacity, unit commitment and maintenance planning in the power system. In this paper the Linear Regression (LR) and the Artificial Neural Network (ANN) are used to study the STLF. In the ANN feed forward network is used for the hourly load forecasting. One fast training algorithm the Levenberg-Marquardt Back Propagation (LMBP) is used to train the neural network. The neuron model is trained using the historical load data of Indian distribution system. The sensitivity of the weather data for the STLF is verified. Both the techniques the LR and the ANN are compared according to the Mean Absolute Error (MAE) and the Mean Absolute Percentage Error (MAPE). The accuracy of the ANN technique for the STLF with the weather data is proved for the residential and the industrial feeder.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] Short Term Load Forecasting Using Artificial Neural Network
    Singh, Saurabh
    Hussain, Shoeb
    Bazaz, Mohammad Abid
    2017 FOURTH INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP), 2017, : 159 - 163
  • [2] Short term load forecasting using artificial neural network
    Banda, E.
    Folly, K. A.
    2007 IEEE LAUSANNE POWERTECH, VOLS 1-5, 2007, : 108 - 112
  • [3] Short-Term Load Forecasting using Artificial Neural Networks and Multiple Linear Regression
    Govender, Sahil
    Folly, Komla A.
    2019 IEEE PES/IAS POWERAFRICA, 2019, : 273 - 278
  • [4] Short-Term Load Forecasting Using Artificial Neural Network
    Buhari, Muhammad
    Adamu, Sanusi Sani
    INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, IMECS 2012, VOL I, 2012, : 83 - 88
  • [5] SHORT-TERM LOAD FORECASTING USING AN ARTIFICIAL NEURAL NETWORK
    LEE, KY
    CHA, YT
    PARK, JH
    KURZYN, MS
    PARK, DC
    MOHAMMED, OA
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1992, 7 (01) : 124 - 132
  • [6] Short-term load forecasting using general regression neural network
    Niu, DX
    Wang, HQ
    Gu, ZH
    PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 4076 - 4082
  • [7] Short Term Load Forecasting using a Neural Network trained by A Hybrid Artificial Immune System
    Mishra, Sanjib
    Patra, Sarat Kumar
    IEEE REGION 10 COLLOQUIUM AND THIRD INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, VOLS 1 AND 2, 2008, : 91 - +
  • [8] HYBRID ARTIFICIAL NEURAL NETWORK SYSTEM FOR SHORT-TERM LOAD FORECASTING
    Ilic, Slobodan A.
    Vukmirovic, Srdjan M.
    Erdeljan, Aleksandar M.
    Kulic, Filip J.
    THERMAL SCIENCE, 2012, 16 : S215 - S224
  • [9] Combination regression and neural network for short term load forecasting
    Chen, Qingming
    Xu, Xiaozhong
    Zeng, Nan
    MATERIAL DESIGN, PROCESSING AND APPLICATIONS, PARTS 1-4, 2013, 690-693 : 2787 - 2795
  • [10] Clustering based Short Term Load Forecasting using Artificial Neural Network
    Jain, Amit
    Satish, B.
    2009 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION, VOLS 1-3, 2009, : 1210 - 1216
12345