Information Technology can play a big role in developing efficient, reliable, and cost-effective Renewable Energy processes and systems. This theme discusses and demonstrates how Renewable Energy processes and systems design benefit from the implementation of the latest development in the different Information Technology fields.

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Intelligent Systems & Soft Computing for Renewable Systems

This track tackles issues related to renewable energy requiring problem solving techniques that can deal with imprecision, uncertainty, partial truth, and approximation to achieve low cost solutions that are robust and traceable.  It includes topics such as Fuzzy Logic (FL), Neural Computing (NC), Evolutionary Computation (EC), Machine Learning (ML), and Probabilistic Reasoning (PR).  Applications in this area may include modeling and simulations, diagnosis, Control, and monitoring of renewable energy process and systems. 

  • Modeling and simulation methodologies and tools
  • Advanced computational methods
  • Fuzzy Logic
  • Intelligent algorithms
  • Evolutionary algorithms
  • Machine Learning
  • Neural networks
  • Probabilistic Reasoning

Software Engineering for Renewable Energy Systems

This track presents an important step in the future of software development for sustainability and renewability of energy.  As Renewable Energy needs and requirements get complicated, Software Engineering methodologies and techniques become more important for the development of successful renewable energy software.  On the other hand, the software development life cycle must incorporate important issues relevant to sustainability and renewability of energy such as sustainability requirements, energy and environmental standards, integration and interoperability issues, quality and safety issues, best practices issues, economical feasibility issues. 

  • Capturing sustainability requirements
  • Software requirements
  • Computer-aided design tools
  • Software testing and validation tools
  • Software quality assurance
  • Embedded programming
  • Integration and interoperability of software
  • Human Computer Interface for renewable energy

Smart Systems for Renewable Energy

This track explores the many areas of Information Technology necessary for the development of Smart Grids and Smart Cities. It focuses on achieving social sustainability as well as environmental sustainability for smart cities.  The track considers issues related to Infrastructure, communications, networking, sensors, monitoring, measurement, smart meters,   Smart control, scheduling, Fault tolerance, security and interoperability of smart grids.  Information Technology topics covered in this track includes: 

  • Pervasive computing
  • Intelligent  & Expert systems
  • Embedded systems
  • Smart scheduling systems
  • Control/Remote control systems
  • Data acquisition systems
  • Internet and Web applications
  • Cloud computing
  • Grid computing
  • Mobile computing
  • Parallel and distributed systems
  • Wireless data communication systems
  • Mobile Ad Hoc networks
  • Wireless sensor networks
  • Green cellular networks
  • Green communication devices
  • Green networks

IT Support for Renewable Energy

This is an open track to explore the support of different Information Technology fields in the Renewable Energy area.  Topics include but are not limited to: Management Information Systems, Decision Support Systems, Database Systems and Data Mining, Data Visualization, Knowledge discovery and dissemination, Microprocessor-based systems, Signal processing, Operating systems, Electronic/mobile learning. 

  • Management information systems
  • Decision support systems
  • Geographical Information Systems (GIS)
  • Database systems
  • Data mining
  • Data visualization
  • Security systems
  • Knowledge discovery and dissemination
  • Microprocessor-based systems
  • Signal processing
  • Operating systems
  • Electronic/mobile learning