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基于机器学习的智能照明系统能效优化策略

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随着机器学习技术的飞速发展,其在数据处理和预测分析方面的应用展现出了优异的性能,但机器学习在智能照明系统中的具体应用和优化效果,尚未得到充分的研究和探索.考虑到智能照明系统在能源消耗及用户体验方面的双重影响,本文就基于机器学习的智能照明系统能效优化策略展开探讨,旨在分析和验证机器学习技术在智能照明系统中的应用效果和潜在优势,期望为智能照明系统的能效优化提供切实可行的解决方案,同时对于未来智能照明技术的发展方向和应用前景提供理论指导和实践参考.
Energy Efficiency Optimization Strategy for Intelligent Lighting Systems Based on Machine Learning
With the rapid development of machine learning technology,it has shown excellent performance in data processing and predictive analysis,but the specific application and optimization effect of machine learning in intelligent lighting system have not been fully studied and explored.Considering the dual influence of intelligent lighting system in energy consumption and user experience,this paper discusses intelligent lighting system optimization strategy based on machine learning,aims to analyze and verify the application of machine learning technology in intelligent lighting system and potential advantages,expect to provide practical solutions for energy efficiency optimization of intelligent lighting system,and for the future development direction and application of intelligent lighting technology to provide theoretical guidance and practical reference.

machine learningintelligent lighting systemenergy efficiency optimization

刘丽萍、熊增举

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江西信息应用职业技术学院,江西 南昌 330043

机器学习 智能照明系统 能效优化

2024

中国照明电器
中国照明电器协会 国家轻工业照明电器信息中心 北京电光源研究所

中国照明电器

影响因子:0.271
ISSN:1002-6150
年,卷(期):2024.(2)
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