ICEE 2017

The 5th International Conference on Electrical Engineering
October 29th - 31th, 2017 - Boumerdes/Algeria


Extended paper submission deadline to July 20, 2017     ---     Selected papers will be submitted for publication to indexed journals, please refer to the home page for more informations     ---     ICEE 2017 Submission Link     ---     Download the CFP     ---     Download the ICEE 2017 Word Template

Topics


Prospective authors are invited to submit 6 pages camera-ready manuscripts on ,but not limited to, the following topics:


Control Systems Engineering

  • Control and Robotics
  • Measurements and Instrumentation
  • System Identification
  • Nonlinear and Robust Control
  • Intelligent Control
  • Fault Diagnosis

Power Engineering

  • Power Systems analysis
  • Power Systems operation and control
  • Power Electronics
  • Machines and Electric drives
  • High Voltage Engineering
  • Renewable Energy
  • Energy Efficiency
  • Power quality
  • Smart Grid

Telecommunications and Signal Processing

  • Image and speech Processing
  • Pattern Recognition
  • Biomedical Imaging
  • RF/Microwave Circuits and Systems
  • Antennas and Wave Propagation
  • Radar and Satellite Systems
  • Information Theory and Coding
  • Wireless and Mobile Communications
  • Semiconductor Characterization and Modeling
  • Metamaterial application

Computer Engineering and applications

  • Design and development methodologies
  • Embedded Architectures and Technologies
  • Intelligent Systems and Application
  • Microprocessor
  • Microcontroller
  • DSP
  • FPGA based Systems


Special Session

Papers targeting application of artificial intelligence techniques in solar energy systems will be presented under a special session that will be managed by Professor Adel MELLIT from Jijel University.

Prior starting this session, Prof. A. MELLIT will give a talk of around 25 minutes on the subject. Title and abstract of the talk are given below:


Title

Application of artificial intelligence techniques in solar energy systems: trends, challenges and recommendations

Abstract

The photovoltaic generation and concentrating power systems are the most promising renewable energy sources in many countries. Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques or as components of integrated systems. They have also been applied for modeling, identification, optimization, prediction, forecasting and control of complex systems. This session aims to present the most recent research and provide an open forum for discussing the application of AI techniques for modeling, optimization, control, diagnosis and performance analysis of solar energy systems, particularly photovoltaic and thermal systems. Advantages and limits of AI methods in terms of feasibility, complexity, cost effectiveness and generalization capability for large-scale integration will be highlighted in this session.


Organizer




Technical Sponsors


        

  

Financial Sponsors