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Modeling of a simplified hybrid algorithm for short-term load forecasting in a power system network

Kathiresh Mayilsamy (PSG College of Technology, Coimbatore, India)
Maideen Abdhulkader Jeylani A, (Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India)
Mahaboob Subahani Akbarali (PSG College of Technology, Coimbatore, India)
Haripranesh Sathiyanarayanan (PSG College of Technology, Coimbatore, India)

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

ISSN: 0332-1649

Article publication date: 15 July 2021

Issue publication date: 20 August 2021

56

Abstract

Purpose

The purpose of this paper is to develop a hybrid algorithm, which is a blend of auto-regressive integral moving average (ARIMA) and multilayer perceptron (MLP) for addressing the non-linearity of the load time series.

Design/methodology/approach

Short-term load forecasting is a complex process as the nature of the load-time series data is highly nonlinear. So, only ARIMA-based load forecasting will not provide accurate results. Hence, ARIMA is combined with MLP, a deep learning approach that models the resultant data from ARIMA and processes them further for Modelling the non-linearity.

Findings

The proposed hybrid approach detects the residuals of the ARIMA, a linear statistical technique and models these residuals with MLP neural network. As the non-linearity of the load time series is approximated in this error modeling process, the proposed approach produces accurate forecasting results of the hourly loads.

Originality/value

The effectiveness of the proposed approach is tested in the laboratory with the real load data of a metropolitan city from South India. The performance of the proposed hybrid approach is compared with the conventional methods based on the metrics such as mean absolute percentage error and root mean square error. The comparative results show that the proposed prediction strategy outperforms the other hybrid methods in terms of accuracy.

Keywords

Citation

Mayilsamy, K., A,, M.A.J., Akbarali, M.S. and Sathiyanarayanan, H. (2021), "Modeling of a simplified hybrid algorithm for short-term load forecasting in a power system network", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 40 No. 3, pp. 676-688. https://doi.org/10.1108/COMPEL-01-2021-0005

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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