Transactions on Machine Intelligence

Transactions on Machine Intelligence

Short-Term Load Forecasting of Distribution Networks Using a Hybrid Method of Wavelet Transform and Neural Networks Based on Bacterial Foraging Optimization Algorithm

Document Type : Original Article

Authors
A. Zarif Loulouei 1
N. Kuchmeshki 2
1 Department of Electrical Engineering, Pardis Branch, Islamic Azad University, Tehran, Iran
2 Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran
10.47176/TMI.2019.88
Abstract
The effective application of consumption management in electrical distribution systems is expected to result in uniform load curves in the future, promoting the efficient utilization of resources. A critical aspect of consumption management is the precise prediction of electrical load in local networks, which consist of a diverse mix of residential, commercial, and industrial consumers. This paper proposes a hybrid approach combining neural networks and wavelet transform to accurately forecast the load of distribution networks. The model utilizes electrical load data from the Qom province distribution network to train and evaluate the prediction system. The wavelet transform is employed for multi-resolution analysis, enabling the model to capture both short-term and long-term patterns in the load data. The neural network's parameters, including the filter type, window length (the number of past data points used for forecasting), and the number of hidden layers, are optimized using the E. coli bacterial foraging algorithm. This optimization technique helps minimize forecasting errors by identifying the most effective configuration for the neural network model. The proposed hybrid model aims to improve forecasting accuracy compared to traditional methods by effectively addressing the complexities of load prediction in distribution networks. The results demonstrate the potential of this integrated approach for enhancing load forecasting and supporting more efficient consumption management in local electrical grids.
Keywords
Bacterial Foraging Optimization Algorithm
Distribution Network Load
Wavelet Transform
Short-Term Forecasting
Neural Network
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Transactions on Machine Intelligence
Volume 2, Issue 2
Spring 2019
Pages 88-98

  • Receive Date 07 March 2019
  • Revise Date 24 May 2019
  • Accept Date 11 June 2019