Special Issue Details
Dr. Arun Kumar Sangaiah, VIT University, Vellore, India.
Dr. Fatos Xhafa, Universitat Politècnica de Catalunya, Barcelona, Spain.
Dr. Patrick Siarry, Université Paris-EstCréteil Val-de-Marne, France.
Energy management is a worldwide issue with great implications. High energy insists and environmental aspects demand the revolution of electricity grids into smart grids, in the direction to more rational consumption of energy. Smart grids are proactively to handle the challenges of demand, supply of power, improve the energy management and secure communications of the electrical grid that enhanced with ICT (information and communications technology). Further, we have been observing from adequate literature of energy-aware computing that includes energy efficiency measures, renewable energy resources, and smart appliances that emphasize the role of ICT in achieving system design and operation objectives.
The energy impact and deployment of smart technologies for concerning the automation, information exchange, analytics, dynamic optimization of grid operations and resources are key challenges for industries to realize the need for Computational Intelligence (CI) paradigms in intelligent decision support system. CI consists of various branches that are not limited to expert systems, artificial immune system, swarm intelligence, fuzzy system, neural network, evolutionary computing and various hybrid systems, which are combinations of two or more of the branches. In addition, CI is inheritor of Artificial Intelligence (AI) and by the way of future computing techniques for smart grids operations in energy management. The main idea of this special issue is to explore the capabilities of CI methods and significant impact towards intelligent smart/future grids. Moreover, this special issue is to address comprehensive nature of energy-aware computing and to emphasize the character of CI in modeling, identification, optimization, prediction, forecasting, and control of future grid systems. In this special issue, we expect the novel work focused on addressing latest research, innovative ideas, and advances in CI approaches and solutions in energy efficient computing for smart grids. Proposed submissions should be original, unpublished, and present novel in-depth fundamental research contributions either from a methodological/application perspective in accomplishing energy-aware systems for society.
Note that this special issue emphasizes \”real world\” applications.
Topics of Interest: Topics include, but are not limited to the following:
Smart Grids and IT-energy aware technologies
Energy-efficient communication for smart grid infrastructures
Energy-aware middleware and scalable architecture for smart grids
Energy efficiency (e.g. sensors and measurement, energy saving controls, power saving, smart environment)
Energy efficiency planning: energy consumption and energy efficiency analysis
Smart grids applications
Advanced IT energy-aware technologies: renewable energy – energy source integration models
Modeling and evaluation of energy management systems
Energy-aware algorithms and applications: energy demand prediction for appliances in industrial and home environments
Energy-aware language abstractions, programming systems
Disruptive future energy-efficient architectures – system-level optimization
Green communication: energy-efficient communication protocols and power management
Smart Grids – architecture and smart grid management perspective
Sensors for smart grids
Intelligent electronic devices (IED) for smart grids
Smart grids transmission infrastructure
Efficient circuit design for energy harvesting
CI Solutions – Performance and validation of energy aware simulations and modeling
Computational intelligence techniques for a smart electric grid of the future
Integration of CI with energy efficient computing applications
Energy efficient network modeling, prediction, and optimization.
Experimental results, benchmarks & test-beds for energy aware systems
Industrial case studies such as smart home, smart cities, smart embedded systems and lessons learnt from CI solutions
CI capabilities for smart grids: self-healing, complex and large scale optimization, robust/adaptive non linear control
Intelligent decision support systems: CI algorithms analysis for smart grid cyber security
Recent advances in Artificial Intelligence for smart grid using heuristic optimization
Full papers can be submitted at http://ees.elsevier.com/eaai/default.asp (all manuscripts should follow the submission guidelines available at the web site). During the submission process, please select \”SI: AI –Smart Grids\” as article type. Prospective authors are encouraged to indicate their interests any time before the submission deadline.
Submission of manuscripts: 15 January, 2017
Review Notification to authors: 15 April, 2017
Submission of revised papers: 15 June, 2017
Notification of final review results: 1 August, 2017
Final Paper Due: 15 September, 2017