Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Load Forecasting Analysis by Time Series Method

Author : Kuldeep S 1 Dr. Anitha G S 2

Date of Publication :21st February 2018

Abstract: Load forecasting is a very important factor for designing power systems. A good knowledge of load pattern and behaviour 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 behaviour. This paper does an analysis of sample load data and predicts the next instant load using feedforward time series neural network model.

Reference :

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    3. Kwang-Ho Kim, Jong-Keun Park, Kab-Ju Hwang, SungHak 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
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    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, India”, International Journal of Engineering Science and Innovative Technology (IJESIT), Volume 1, Issue 2, November 2012
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