Call For Chapters for book entitled "Artificial Intelligence-based Energy Management Systems for Smart Microgrids" which is approved by Taylor & Francis Publishing Group.

Submission Guidelines

Modeling and optimization of energy management systems for micro and mini grids play an important role in the fields of energy generation dispatch, peak demand conflict with grid security and maintained the flexibility of the mini and micro grid system. A large number of models and optimization algorithms are applied to model and optimize energy management systems in the past two decades. Although, successes have been achieved by these algorithms for specific cases only achieved.Owing to the ease of use and adaptability of optimal solutions such as Meta-Heuristic and artificial Intelligent (AI) Algorithms, these techniques have proved to be accurate and efficient tools for developing energy management systems with energy usage prediction for mini and micro grid systems and a large number of such models are implemented in the past two decades. 

• Important Dates:
• Page write-up (abstract with title keywords and author detail): July 15th, 2020
• Preliminary acceptance/rejection notification: July 25th, 2020

List of Topics

Topics of Interest (but not limited to):

• Section 1 Generation Overview
• Present energy grid and its components
• Renewable energy systems and its components
• Basic distribution system and its components
• Overview of energy management systems for micro grids
• Energy management and energy conversion
• Architecture of the micro grid
• Necessity and the development of the micro grid
• Modelling of micro grid and energy management systems
• Section 2 Issues related to the planning 
• operation and control
• Integration of the micro grid with the utility grid
• Optimization of the micro grid operation and control
• Energy usage predictions in micro grid systems
• Uncertainty in the micro grid generation
• Section 3 methodologies and solution techniques
• Intelligent algorithms for the micro grid energy management system
• Blockchain based micro grid energy management
• Hybrid particle swarm optimization - artificial neural network algorithm for energy management
• Hybrid genetic algorithm - fuzzy inference system for energy magement systems
• Hybrid Meta heuristics algorithms for developing energy management systems
• Section 4 Applications
• Intelligent algorithms applications in energy management systems
• Optimal energy dispatch with energy management systems
• Peak demand management with energy management systems
• Flexibility enhancement of the microgrid system with energy management systems
• Faults and event detections algorithms in energy management systems
• Peer to peer energy trading
• Uncertainty management in energy management of the micro-grids
• Section 5 Case studies
• Real-world examples of the microgrid
• Special micro-grids such as aircraft and maritime micro-grids
• Section 6 MATLAB codes related to the discussed problem

Committees

Book Editors

• Baseem Khan, Hawassa University, Hawassa University, Ethiopia
• Om Prakash Mahela, Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., India
• Hassan Haes Alhelou, Tishreen University, Latakia, Syria
• Sanjeevikumar Padmanaban, Aalborg University, Esbjerg, Denmark
• S. Rajkumar, Assistant Professor, Mechanical Engineering Dept., Hawassa University, Hawassa, SNNPRS, Ethiopia, 05,

Submission Procedure

Please submit your one-page write up (with abstract of 500- 1000 words and 6 keywords) of your chapter along with tentative Table of contents through online submission System. Easy Chair Submission Link: https://easychair.org/conferences/?conf=aiemssmg2021 on or before "15th July 2020". Upon acceptance of the proposal, further instructions for submission guidelines according to the CRC Press will be communicated.

Publication

The book entitled "Artificial Intelligence-based Energy Management Systems for Smart Microgrids" will be published in Taylor & Francis Group.

It has been approved by CRC: Taylor & Francis Publishing Group.

Contact

For further details, contact:

• Baseem Khan, Assistant Professor, Electrical & Computer Engineering Dept., Hawassa University, Hawassa, SNNPRS, Ethiopia, 05,E-mail: baseem.khan04@ieee.org; Mobile: +251-968631743 (Telegram Number)
• Om Prakash Mahela, Assistant Engineer, Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., India,E-mail: opmahela@gmail.com; Mobile: +91-9468591276 (Wattsapp Number)
• Hassan Haes Alhelou, Tishreen University, Latakia, Syriah.haesalhelou@gmail.com
• Sanjeevikumar Padmanaban, Aalborg University, Esbjerg, Denmark, san@et.aau.dk
• S. Rajkumar, Assistant Professor, Mechanical Engineering Dept., Hawassa University, Hawassa, SNNPRS, Ethiopia, 05,E-mail: ccetraj@gmail.com

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