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<p>The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. The Xception-NN model, which is a modified deep learning framework, processes time-series data and incorporates various factors such as weather conditions, demographic insights, and economic indicators. By refining the model’s parameters, the DHEO algorithm, inspired by human evolutionary principles, enables a more accurate capture of intricate dependencies and patterns in electricity consumption data. This approach provides energy companies and utilities with a means to enhance their predictions, optimize energy production, and effectively anticipate future demand. Additionally, the study investigates electricity consumption under two scenarios: Base Line (BL) and Energy Conservation (EC), with a focus on the volume of electricity consumed across different sectors. The EC scenario leads to a notable 6.54% reduction in electricity consumption, with the industry sector experiencing the most significant decline.</p>

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Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月9日

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  • Dongxian Yu,
  • Di Wu,
  • Chongyang Liao,
  • Zaihui Cao,
  • Somayeh Pouramini

摘要

The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model. The Xception-NN model, which is a modified deep learning framework, processes time-series data and incorporates various factors such as weather conditions, demographic insights, and economic indicators. By refining the model’s parameters, the DHEO algorithm, inspired by human evolutionary principles, enables a more accurate capture of intricate dependencies and patterns in electricity consumption data. This approach provides energy companies and utilities with a means to enhance their predictions, optimize energy production, and effectively anticipate future demand. Additionally, the study investigates electricity consumption under two scenarios: Base Line (BL) and Energy Conservation (EC), with a focus on the volume of electricity consumed across different sectors. The EC scenario leads to a notable 6.54% reduction in electricity consumption, with the industry sector experiencing the most significant decline.