Load Forecasting Analysis by Time Series Method

  • Authors

    • Kuldeep S
    • Anitha G S
    2018-03-10
    https://doi.org/10.14419/ijet.v7i2.4.11227
  • ANN, Neural Network, Short Term Load Forecasting, Time Series, Feed Forward

  • Abstract

    Load forecasting is a very important factor for designing power systems. A good knowledge of load pattern and behavior is very important for proper coordination, design and economic operation. Though a lot of research has been done on load forecasting, there are many tools and methods still being developed to accurately predict load behavior. This paper does an analysis of sample load data and predicts the next instant load using feedforward time series neural network model

  • References

    1. [1] Amanpreet Kaur, "Load Forecasting", CSE 291-Smart Grid Seminar

      [2] Muhammad Usman Fahad, Naeem Arbab, "Factor Affecting Short Term Load Forecasting", Journal of Clean Energy Technologies, Vol 2, No 4, October 2014

      [3] Kwang-Ho Kim, Jong-Keun Park, Kab-Ju Hwang, Sung-Hak Kim, "Implementation of Hybrid Short-term Load Forecasting System Using Artificial Neural Networks and Fuzzy Expert Systems", IEEE Transactions on Power Systems, Vol 10, No 3, August 1995

      [4] T Gowri Manohar, V C Veera Reddy, "Load Forecasting by a Novel Technique Using ANN", ARPN Journal of Engineering and Applied Sciences, Vol 3, No 2, April 2008, ISSN: 1819-6608

      [5] Kishan Mehrotra, Chilukuri K Mohan, Sanjay Ranka, “Elements of Artificial Neural Networksâ€, Second Edition

      [6] Nataraja C, Gorawar M B, Shilpa G N, Shri Harsha J, “Short Term Load Forecasting Using Time Series Analysis: A Case Study for Karnataka, Indiaâ€, International Journal of Engineering Science and Innovative Technology (IJESIT), Volume 1, Issue 2, November 2012

      [7] https://in.mathworks.com/

  • Downloads

  • How to Cite

    S, K., & G S, A. (2018). Load Forecasting Analysis by Time Series Method. International Journal of Engineering & Technology, 7(2.4), 101-104. https://doi.org/10.14419/ijet.v7i2.4.11227

    Received date: 2018-04-06

    Accepted date: 2018-04-06

    Published date: 2018-03-10