articleIEEE NetworkMar 1, 2019Closed access

Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities

Guangdong University of Technology · University of Oslo

Indexed incrossref

Abstract

In recent years, green energy management systems (smart grid, smart buildings, and so on) have received huge research and industrial attention with the explosive development of smart cities. By introducing Internet of Things (IoT) technology, smart cities are able to achieve exquisite energy management by ubiquitous monitoring and reliable communications. However, long-term energy efficiency has become an important issue when using an IoT-based network structure. In this article, we focus on designing an IoT-based energy management system based on edge computing infrastructure with deep reinforcement learning. First, an overview of IoT-based energy management in smart cities is described. Then the framework…

Citation impact

585
total citations
FWCI
39.72
Percentile
100%
References
19
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Smart grid
  • Edge computing
  • Internet of Things
  • Reinforcement learning
  • Energy management
  • Smart city
  • Efficient energy use
No related works found for this paper.

Funding