Important Dates

October 15, 2023

Paper Submission Deadline


October 30, 2023

Author Notification


November 15, 2023

Final Workshop Papers Due


December 17-21, 2023

Conference Date


Sponsors

Title of the workshop

IEEE iThings 2023 Workshop on Emerging IoT Applications in Modern Power Systems (IoT-PS 2023)

Important Information
Due to the free trade port policy, Hainan is visa-free for people from 59 countries. For details, please refer to the link shown as follows: http://en.hainan.gov.cn/englishgov/Policies/202201/c33e5a7ee5a0426cb933b900b044ab86.shtml

Aerial video of Ocean Flower Island (海花岛): https://haokan.baidu.com/v?pd=wisenatural&vid=928354078536873305

Objectives

The emerging Internet of Things (IoT) technology has significant implications and prospects for the modern electrical power system, particularly in the context of energy transition and the adoption of clean energy sources IoT enables seamless communication, data exchange, and collaboration among interconnected devices, sensors, and systems, revolutionizing power generation, distribution, and consumption. IoT applications in power systems encompass real-time monitoring and predictive maintenance of power generation and transmission assets, efficient load balancing and fault management in smart grids, and demand-side management for energy conservation, etc. By leveraging IoT, utilities can enhance operational efficiency, integrate renewable energy sources, and improve overall system reliability. The abundance of data collected through IoT devices enables advanced analytics for informed decision-making and optimization of power system operations. Ultimately, IoT holds the key to a more sustainable, resilient, and intelligent electrical power system.

Scope

The goal of this workshop is to explore the emerging Internet of Things (IoT) technology and its applications in the modern electrical power system by bringing together leading researchers and professionals from both industry and academia. The topics include, but are not limited to the following:

  • IoT-enabled asset management: Investigating the integration of IoT technologies in power transmission and distribution systems, such as predictive maintenance, asset optimization, and real-time monitoring.
  • IoT-based Power Distribution and Grid Management: Exploring the use of IoT sensors and devices for efficient load balancing, fault detection, outage management, and demand-side management in power distribution networks.
  • Renewable Energy Integration: Analyzing the potential of IoT in integrating renewable energy sources, such as solar and wind, into the power grid through monitoring, control, and coordination of distributed generation systems.
  • Grid Automation and Self-Healing: Investigating the role of IoT in automating grid operations, enabling self-healing capabilities, and improving overall grid resilience and reliability.
  • Energy Efficiency and Demand Response: Assessing the effectiveness of IoT-driven energy management systems, demand response programs, and real-time data analytics in promoting energy efficiency and reducing peak load.
  • Cybersecurity and Data Privacy: Examining the security challenges and solutions in IoTenabled power systems, including data protection, privacy concerns, and secure communication protocols.
  • IoT-based Energy Storage Systems: Investigating the role of IoT in optimizing the performance, monitoring, and control of energy storage systems, such as batteries and smart grid storage solutions
  • IoT-driven Smart Buildings and Energy Management: Exploring the integration of IoT technologies in smart buildings for energy monitoring, optimization, and control, including IoT-based systems for HVAC, lighting, and appliance management.
  • Microgrid Systems and IoT: Analyzing the use of IoT in microgrid systems for local energy generation, distribution, and optimization, including energy sharing and islanding capabilities.
  • IoT-enabled Electric Vehicle Integration: Investigating the integration of IoT technologies in electric vehicle charging infrastructure, grid-to-vehicle communication, and vehicle-to-grid interaction for efficient energy management.

Keynote Speaker

  • Prof. Fei Teng, Imperial College, UK.
  • Organizing Chair

  • Dr. Qinwei He, Global Energy Interconnection Research Institute Europe GmbH, Germany.
  • Prof. Yulin Hu, Wuhan University, China.
  • Technical Program Committee Chairs

  • Prof. Gen Li, Technical University of Denmark, Denmark.
  • Dr. Xiaopeng Yuan, RWTH Aachen University, Germany.
  • Paper Submission

    Main conference papers are limited to 8 pages (regular paper), or 4 pages for poster papers following the IEEE Computer Society Proceedings Format, and are to be submitted as PDF via the site: https://edas.info/newPaper.php?c=31586. Paper not following the IEEE templates will be rejected without reviews. Papers will be selected based on their originality, significance, relevance, and clarity of presentation assessed by at least three reviewers.

    Paper Publication

    Accepted conference papers will be published by IEEE (IEEE-DL and El indexed). At least one author of each accepted paper is required to register and present their work at the conference. Otherwise, the paper will not be included in the proceedings. Selected papers, after further extensions and revisions, will be recommended to special issues.

    Organizations:


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