SEAEPS-2021: Smart Energy and Electric Power System |
Submission link | https://easychair.org/conferences/?conf=seaeps2021 |
Abstract registration deadline | April 10, 2021 |
Submission deadline | April 30, 2021 |
SEAEPS-2021 - CALL for BOOK CHAPTER -Smart Energy and Electric Power Systems- Current Trends and New Intelligent Perspectives - ELSEVIER PUBLISHERS
The economic growth of a country depends on the smart infrastructures it is endowed with. One such primary infrastructure is electricity. Revolution in industry and service sector has embarked the surgical rise in demand for electricity. Despite enormous electricity being produced the country faces a massive electricity demand, and this leads to a blackout. To distribute the electricity demand evenly among all geographic areas, the load shedding technique is encouraged. The lack of electricity may arise due to technical faults with power plants, shortage in supply, weather-conditions, etc. Power outages are unpredictable, and various factors contribute to them. This cumbersome task of analyzing the demands for electricity unravels the technique of using Artificial Intelligence (AI) to smartly handle the demand for electricity without affecting the economy of a nation. The specific focus of this collection will be on the application of Artificial Intelligence in smart energy and power system. For particular call, we are seeking articles that focus on the intersection of Artificial Intelligence and power system.
Submission Guidelines
All chapters must be original and not simultaneously submitted to another journal or conference. The following chapter categories are welcome:
List of Topics(Not Limited to):
Introduction: Artificial intelligence and Smart Power Systems
Integrated Architecture of Machine Learning and Smart Power System
Challenges and issues in Power Systems
Load shedding and related techniques to solve the power crisis
ML in distributed energy resources and prosumers market.
ML-based electricity demand prediction
Applying ML to determine the power outage
Predictive and Prescriptive analytics for component fault detection
Balancing demand and supply of electricity with machine learning
Preventive care of grid hardware with anomaly detection
AI-based Smart feeder monitoring system
Algorithms for buss loss and reliability indices calculations
ML-based security solutions to protect smart power systems
Cyber-attacks, security data detection, and critical loads in the power systems
Integration of AI/ML into the energy sector: Case Studies
Committees
Program Committee
- Sanjeev Kumar Padmanaban, Center for Bioenergy and Green Engineering, Department of Energy Technology, Aalborg University, Esbjerg.
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Jens Bo Holm-Nielsen, Head of the Energy Section-Esbjerg, Head of the Center for Bioenergy and Green Engineering, Department of Energy.
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Kayal Padmanandam, BVRIT Hyderabad College of Engineering for Women, Hyderabad, India.
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Rajesh Kumar Dhanaraj, Associate Professor, Galgotias University, Delhi, India.
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Balamurugan Balusamy, Professor, Galgotias University, Delhi, India.
Organizing committee
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Kayal Padmanandam, BVRIT Hyderabad College of Engineering for Women, Hyderabad, India.
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Rajesh Kumar Dhanaraj, Associate Professor, Galgotias University, Delhi, India.
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Balamurugan Balusamy, Professor, Galgotias University, Delhi, India
Contact
All questions about submissions should be emailed to kayalpaddu@gmail.com