[论文解读] Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

Maryam Nikpour, Parisa Behvand Yousefi+6 more|arXiv (Cornell University)|Jun 8, 2023

Air Quality Monitoring and Forecasting被引用 8

一句话总结

本论文综述基于物联网的智能城市能源管理框架，并分析智能分析与机器学习如何在智能建筑中降低能源使用和环境影响，同时在物联网平台内支持第三方应用。

ABSTRACT

This study confronts the growing challenges of energy consumption and the depletion of energy resources, particularly in the context of smart buildings. As the demand for energy increases alongside the necessity for efficient building maintenance, it becomes imperative to explore innovative energy management solutions. We present a comprehensive review of Internet of Things (IoT)-based frameworks aimed at smart city energy management, highlighting the pivotal role of IoT devices in addressing these issues due to their compactness, sensing, measurement, and computing capabilities. Our review methodology encompasses a thorough analysis of existing literature on IoT architectures and frameworks for intelligent energy management applications. We focus on systems that not only collect and store data but also support intelligent analysis for monitoring, controlling, and enhancing system efficiency. Additionally, we examine the potential for these frameworks to serve as platforms for the development of third-party applications, thereby extending their utility and adaptability. The findings from our review indicate that IoT-based frameworks offer significant potential to reduce energy consumption and environmental impact in smart buildings. Through the adoption of intelligent mechanisms and solutions, these frameworks facilitate effective energy management, leading to improved system efficiency and sustainability. Considering these findings, we recommend further exploration and adoption of IoT-based wireless sensing systems in smart buildings as a strategic approach to energy management. Our review underscores the importance of incorporating intelligent analysis and enabling the development of third-party applications within the IoT framework to efficiently meet the evolving energy demands and maintenance challenges

研究动机与目标

• 评估用于智能城市能源管理的物联网框架。
• 识别智能分析与ML方法如何提升监控、控制与效率。
• 评估物联网平台支持第三方应用的潜力。
• 推荐采用物联网无线感知与智能分析以实现可持续能源管理。

提出的方法

• 对用于智能能源管理的物联网体系结构与框架进行文献综述。
• 分析收集、存储并支持用于监控与控制的智能分析的框架。
• 评估框架作为第三方应用开发平台的可行性。
• 综合研究发现，评估能源减少与环境影响。

实验结果

研究问题

• RQ1 在智能建筑与城市中存在哪些基于物联网的智能能源管理框架？
• RQ2 这些框架中的智能分析与ML方法如何提升能源效率与可持续性？
• RQ3 物联网平台能否支持第三方应用以扩展功能与适应性？
• RQ4 在智能建筑中采用物联网无线传感的战略性建议有哪些？
• RQ5 这些框架对能源消耗与环境足迹的潜在影响是什么？

主要发现

• 基于物联网的框架在降低智能建筑能耗和环境影响方面具有显著潜力。
• 物联网框架中的智能机制能够提升系统效率与可持续性。
• 物联网框架可以作为开发第三方应用的平台，提升实用性与适应性。
• 在智能建筑中采用基于物联网的无线传感系统在能源管理方面具有战略优势。