AI Application in Energy Technology and Power System:: Special Issue

Journal of Electrical and Electronic Engineering

Special Issue

AI Application in Energy Technology and Power System

Submission deadline: Mar. 31, 2024

Status: Open for Submission

Special Issue of Journal of Electrical and Electronic Engineering

Artificial intelligence (AI) is a rapidly developing field with great application potential in various fields. Two of these are energy technologies and power systems. With major industrialized nations around the world announcing policies to achieve net-zero carbon emissions by 2050, there is an urgent need for innovative and sustainable energy solutions. AI can be applied to optimize energy systems, reduce energy consumption, predict green energy output, improve grid reliability, efficiency, and increase grid resilience.

This special issue aims to provide a platform for researchers and practitioners to present their recent advancements in AI applications in energy technology and power systems. The intended focus of this issue is to explore the potential of AI in energy-related applications such as demand response, renewable energy integration, energy storage, and smart grid management. The goal is to advance the knowledge and understanding of AI and its applications in energy technology and power systems.

This special issue aims to bring together researchers, academicians, and industry personnel to share their knowledge, experiences and research on the application of AI in energy technology and power system. The specific focus of the issue will include but not limited to:

(1) AIbased optimization techniques for renewable energy systems.

(2) Fault diagnosis and prediction with the Smart Grid.

(3) AIbased energy demand forecasting.

(4) AIbased customized energy management system(EMS).

(5) AIbased charging management for Electric Vehicle.

(6) Big data analysis techniques for power system.

(7) Energy consumption: AI can be utilized for energy demand forecasting, building management, personal energy management, and electric vehicles charging management.

(8) AIenabled renewable energy integration for enhancing the reliability, stability and resilience of the power grid.

(9) AI for energy efficiency in any industrial processes.

This special issue intends to provide a comprehensive overview of the latest advancements in AI applications in energy technology and power systems. We invite original research papers, review articles, and case studies from researchers and practitioners working in academia, industry, and government agencies. The goal is to foster discussions, collaborations, and knowledge sharing on this important topic and provide valuable insights into the future of energy systems.

Keywords:

Artificial Intelligence (Ai)
Renewable Energy
Energy Generation
Energy Consumption
Power Load Forecasting
Demand Response
Advanced Metering Infrucsture(AMI)
Algorithm

Lead Guest Editor

Chien-Hsing Lee

Department of Electrical Engineering and Computer Science , National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

Guest Editor

Chun-Lien Su

Electrical Engineer/ College of Electrical Engineering and Computer Science (EECS), National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Chan-Nan Lu

Electrical Engineering/College of Engineering, National Sun Yat-sun University, Kaohsiung, Taiwan
Shih-Chieh Hsieh

Electrical Engineering/College of Intelligent Science and Technology, I-Shou University, Kaohsiung, Taiwan
Chao-Shun Chen

Electrical Engineering/College of Intelligent Science and Technology, I-Shou University, Kaohsiung, Taiwan

Manuscript Submission

Submitting your research to Science Publishing Group is a simple and efficient process. Here are three submission options available:

Manuscript writing and formatting guidelines, please refer to Submission Guidelines.

Option 1: Quick Submission

Our Quick Submission tool provides a fast and uncomplicated way for you to submit your manuscripts.

Selected Special Issue:*

Special Issue Title	Article Processing Charge
AI Application in Energy Technology and Power System	970 USD

Article Title: *

Upload Manuscript:*

Upload

1. Allow only .doc, .docx and .tex format.
2. Files should not exceed 20MB.

Article Type: *

First Name:*

Last Name:*

Email Address:*

A follow-up email will be sent to the given email address within 3 working days.

Verification Code: *

Renew

Option 2: Online Submission

Submit your manuscript via our online submission system.

	For unregistered users, please register at https://sso.sciencepg.com/register
	For registered users, please log in at https://sso.sciencepg.com/login

Once you're logged in, click on "Submit to Special Issue" under the "Submission" section. Follow the system prompts to successfully complete the submission.

Option 3: Email Submission

You can submit your manuscript directly via email to submission@sciencepg.com.

Please type "AI Application in Energy Technology and Power System Manuscript Submission" as the subject of your email.