Journal featured article

Synergies of Operation, Information, and Communication Technology for Solving New Societal and Industrial Challenges: Future Directions

Authors: Wenbin Dai; Paulo Leitão; Kim Fung Tsang; Yang Shi; Gerhard Hancke; Lei Shu; Moris Behnam; Jan Haase; Valeriy Vyatkin
Extended Abstract: The world is facing a series of new societal and industrial challenges such as continuously increasing costs in food and energy supply and short …

Hierarchical Model-Predictive Droop Control for Voltage and Frequency Restoration in AC Microgrids

Authors: Iresha Poonahela; Abdelbasset Krama; Sertac Bayhan; Ugur Fesli; Mohammad B. Shadmand; Haitham Abu-Rub; Miroslav M. Begovic
Abstract:
A hierarchical control structure was introduced to allow the integration of power-electronics based distributed generation into the microgrid in a smart and flexible manner. The main aim of the …

Fast Charging Station for Electric Vehicles Based on DC Microgrid

Authors: Harshita Arya and Moumita Das
Extended Abstract:
As the Electric Vehicle sector is growing rapidly, the demand for charging stations is also increasing with the advancement of electric vehicles. Due to EV, the power demand increases in the household as well as the industrial/commercial purposes. The …

In-Flight Wireless Charging: A Promising Application-Oriented Charging Technique for Drones

Authors: Kaibo Chen and Zhen Zhang
Extended Abstract: Drones, especially the most representative battery-powered multirotor drones, have experienced rapid development in practical niches nowadays. Market data indicates a distinct uptrend in the utilization of industrial drones. This means drones are replacing humans to execute a wide …

A Review on Application of Artificial Intelligence Techniques in Microgrids

Authors: Ebrahim Mohammadi, Mojtaba Alizadeh, Mohsen Asgarimoghaddam, Xiaoyu Wang, and Marcelo Godoy Simões
Extended Abstract:
Fossil fuels with their environmental pollution and low efficiency impact the traditional and conventional power systems. These issues have been supporting a new paradigm of electricity generation locally at the distribution level, …

Composite Adaptive Synchronous Control of Dual-Drive Gantry Stage With Load Movement

Authors: Pengwei Shi, Xinghu Yu, Xuebo Yang, Juan J. Rodríguez-Andina, Weichao Sun, Huijun Gao
Abstract:
In recent years, dual-drive gantry systems have been widely used in precision manufacturing due to their large load and high thrust characteristics. However, the difficulty of controlling the system increases due to …

Data Fusion System for Electric Motors Condition Monitoring: An Innovative Solution

Authors: Roque Alfredo Osornio-Rios, Israel Zamudio-Ramírez, Arturo Yosimar Jaen-Cuellar, Jose Antonino-Daviu, and Larisa Dunai
Extended Abstract:
Electric motors are elementary drivers for various processes in countless applications concerning several areas of modern societies. This relevance can be mainly attributed to their high efficiency and robustness. However, due …

Remote-Timber: An Outlook for Teleoperated Forestry with First 5G Measurements

Authors: Aamir Mahmood, Sarder Fakhrul Abedin, Mattias O’Nils, Mats Bergman and Mikael Gidlund
Extended Abstract:
Across all industries, digitalization and automation are on the rise under the Industry 4.0 vision, and the forest industry is no exception. The forest industry depends on distributed flows of raw materials …

Sparse Vector Coding for Short-Packet Transmission on Industrial Communications: Reference Architecture and Design Challenges

Authors: AIñigo Bilbao; Lorenzo Fanari; Eneko Iradier; Pablo Angueira and Jon Montalban
Extended Abstract:
Reliable, fast, and deterministic communications are fundamental for future industrial wireless systems. This goal requires multiple cooperating technologies pertaining to different communication areas. The waveform and coding technique choices are critical to …

A Data-Driven Short-Term PV Generation and Load Forecasting Approach for Microgrid Applications

Authors: Rohit Trivedi; Sandipan Patra; Shafi Khadem
Extended Abstract:
The data-driven (DD) is a systematic approach to improve the data and model by deriving/adding features to address the problem identified during the iterative loop of forecasting model development. This article proposes a DD framework for forecasting short-term …