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An optimized estimation techniques for enhancing the efficiency of power demand in smart grid application

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Abstract

At present, a higher rate of power consumption is caused by intelligent grid applications. Due to high power consumption, the system efficiency, as well as the energy rate of the system, was high. So, to reduce the power consumption rate and increase the system’s efficiency, a novel Ant Lion-based Auto Encoder System (ALbAES) was developed in this research. With this model, the power consumption reduced and the system’s efficiency is increased, and the parameters of the proposed model were obtained in a better range. This work initially pre-processed the power demand data sets to remove the noisy data. The smart grid and the control and monitoring features were extracted through feature extraction. Those extracted features were used in further processes. Moreover, the fitness of the extracted features was compared with the ant lion fitness. The calculation was done based on the ant lion optimization and the Autoencoder. Ideally, the system’s efficiency was increased as 96% based on the fitness function of developed optimization algorithm. To detect the performance of the proposed model, the parameters in the proposed model were compared with the other existing models. The system’s efficiency was improved, the rate of power flow was reduced, and the energy rate of the model was reduced. The design was implemented in MATLAB software, and the results were executed on the windows ten platform.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Electrical Engineering, Manipur Institute of Technology, Takyelpat, Imphal, 795001, Manipur, India

    Khwairakpam Chaoba Singh

  2. Department of Mechanical Engineering, Manipur Institute of Technology, Takyelpat, Imphal, 795001, Manipur, India

    Ngangkham Peter Singh

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  1. Khwairakpam Chaoba Singh
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Authors KCS and NPS have contributed equally to the work.

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Correspondence to Khwairakpam Chaoba Singh.

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Singh, K.C., Singh, N.P. An optimized estimation techniques for enhancing the efficiency of power demand in smart grid application. Wireless Netw 30, 577–591 (2024). https://doi.org/10.1007/s11276-023-03507-1

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