New development in Anticipatory Agent System used for Power Management in Smart Home Simulator
In recent years, there is a global evolution in the way energy is generated and consumed due to climate change, energy independence and the impending decay of fossil fuels. It has seen a rise of interest in the deployment of multi agent systems in energy domains that inherently have uncertain and dynamic environments with limited resources. In such domains, the key challenge is to minimize the energy consumption while satisfying the comfort level of occupants in the buildings under uncertainty (regarding agent negotiation actions). This paper presents the new development for enhancement the performance of Power Management in Smart Home simulator. This development is based on the anticipatory and multi agent systems that used in this simulator.
Keywords: Anticipatory System, Multi Agent System, Power Management, Smart Home
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ABOUT THE AUTHORS
Ahmed Elmahalawy
Dr. Eng. Ahmed M. Elmahalawy had earned his PhD from Czech technical university in 2009. He works as a lecturer in Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University. His interest is in artificial Intelligence mainly Agent technology and multi Agent System and machine learning. He had many publications in these fields and a reviewer in IASTED.
Mohamed Nour El-Dien
Eng. Mohamed Nour El-dien is graduated from Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University in 2007. He had earned his MSc. Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University in 2011. He works as a assistance lecturer in Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University. His interest is in artificial Intelligence mainly Agent technology and multi Agent System. He is a PhD student in Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University.
Ahmed Elmahalawy
Dr. Eng. Ahmed M. Elmahalawy had earned his PhD from Czech technical university in 2009. He works as a lecturer in Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University. His interest is in artificial Intelligence mainly Agent technology and multi Agent System and machine learning. He had many publications in these fields and a reviewer in IASTED.
Mohamed Nour El-Dien
Eng. Mohamed Nour El-dien is graduated from Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University in 2007. He had earned his MSc. Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University in 2011. He works as a assistance lecturer in Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University. His interest is in artificial Intelligence mainly Agent technology and multi Agent System. He is a PhD student in Computer Engineering and science Department, Faculty of Electronic Engineering, Minufiya University.
