Design and Implementation Effect of Intelligent Algorithms for Hotel Energy Consumption Management

This article studies and analyzes the design and implementation effects of intelligent algorithms for hotel energy consumption management. Traditional energy consumption management has problems such as low intelligence, insufficient data analysis capabilities, lack of personalized management, and difficulty in evaluation. To address these issues, this article applies intelligent algorithms to hotel energy consumption management systems. The specific steps include data collection and monitoring, data cleaning and organization, intelligent algorithm design, algorithm implementation and optimization, and personalized management. By evaluating and analyzing the energy consumption data after implementing intelligent algorithms, it is found that intelligent algorithms significantly reduce energy consumption and improve energy utilization efficiency. Therefore, the design and implementation of intelligent algorithms are of great significance for hotel energy management, helping hotels improve energy utilization efficiency (Max: 88.2%), reduce energy consumption (Min: 101 MJ), and lower energy consumption cost (Min: 802 USD). This article provides a feasible solution for the intelligence of hotel energy consumption management and contributes to in-depth research and application in related fields.

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Publication Details

Published
2024-12-29
DOI
https://doi.org/10.1109/icirdc65564.2024.00032
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Design and Implementation Effect of Intelligent Algorithms for Hotel Energy Consumption Management

Fei Ai
E-commerce and Technology Innovations
article

Design and Implementation Effect of Intelligent Algorithms for Hotel Energy Consumption Management

Fei Ai
article en

Abstract

This article studies and analyzes the design and implementation effects of intelligent algorithms for hotel energy consumption management. Traditional energy consumption management has problems such as low intelligence, insufficient data analysis capabilities, lack of personalized management, and difficulty in evaluation. To address these issues, this article applies intelligent algorithms to hotel energy consumption management systems. The specific steps include data collection and monitoring, data cleaning and organization, intelligent algorithm design, algorithm implementation and optimization, and personalized management. By evaluating and analyzing the energy consumption data after implementing intelligent algorithms, it is found that intelligent algorithms significantly reduce energy consumption and improve energy utilization efficiency. Therefore, the design and implementation of intelligent algorithms are of great significance for hotel energy management, helping hotels improve energy utilization efficiency (Max: 88.2%), reduce energy consumption (Min: 101 MJ), and lower energy consumption cost (Min: 802 USD). This article provides a feasible solution for the intelligence of hotel energy consumption management and contributes to in-depth research and application in related fields.

Guizhou University (CN)
Openalex Percentile: Top 44%
E-commerce and Technology Innovations
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