Maglev Trains
American Journal of Engineering Research (AJER) 2013 w w w . a j e r . o r g
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American Journal of Engineering Research (AJER) e-ISSN : 2320-0847 p-ISSN : 2320-0936 Volume-02, Issue-08, pp-108-114 www.ajer.org Research Paper Open Access Intelligent Power Economy System (Ipes) Salman Afghani1, Mehwish Iqbal2, Tayyaba Sabir3, Muhammad Ishfaq Javed3 1,2,3,4 (Electrical Engineering Department, Army Public College of Management and Sciences (APCOMS), Rawalpindi, Pakistan Abstract: - T This paper discusses an Intelligent Power Economy System which is an intelligent way of saving energy and it allows the user to allocate desired electrical power consumption and it also take care of the comfort level of the user. Intelligent Power Economy System (IPES) is very intelligent, compact, cost effective, and user-friendly device. IPES is truly intelligent because it has the ability to learn and can create a behavioural model of habitants of dwelling. It has a fully functional inference engine and knowledge base with 15 minute resolution and 14 days cycle is embedded into low end 8 bit microcontroller. IPES will provide a mean to move and work according to requirements and needs of the consumer. This system will take required input from the user and then regulates the power according to the mode selected i.e. Economy mode, Medium mode, Lavish mode. In this particular system user will be able to decide how much electricity he needs and it will be set by the user itself. Such system will be beneficial and conducive as we can set a required amount of power to be used at specific times. Keywords: - Compact, Intelligent, Cost Effective, User-Friendly, Controllers
I. INTRODUCTION
Shortage of electricity is the major issue all over the world. This is the major motivation behind this research or project. Our Intelligent Power Economy System helps the individuals to control economy with no effects on comfort level. An individual using this system not only reduces the loss of
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American Journal of Engineering Research (AJER) e-ISSN : 2320-0847 p-ISSN : 2320-0936 Volume-02, Issue-08, pp-108-114 www.ajer.org Research Paper Open Access Intelligent Power Economy System (Ipes) Salman Afghani1, Mehwish Iqbal2, Tayyaba Sabir3, Muhammad Ishfaq Javed3 1,2,3,4 (Electrical Engineering Department, Army Public College of Management and Sciences (APCOMS), Rawalpindi, Pakistan Abstract: - T This paper discusses an Intelligent Power Economy System which is an intelligent way of saving energy and it allows the user to allocate desired electrical power consumption and it also take care of the comfort level of the user. Intelligent Power Economy System (IPES) is very intelligent, compact, cost effective, and user-friendly device. IPES is truly intelligent because it has the ability to learn and can create a behavioural model of habitants of dwelling. It has a fully functional inference engine and knowledge base with 15 minute resolution and 14 days cycle is embedded into low end 8 bit microcontroller. IPES will provide a mean to move and work according to requirements and needs of the consumer. This system will take required input from the user and then regulates the power according to the mode selected i.e. Economy mode, Medium mode, Lavish mode. In this particular system user will be able to decide how much electricity he needs and it will be set by the user itself. Such system will be beneficial and conducive as we can set a required amount of power to be used at specific times. Keywords: - Compact, Intelligent, Cost Effective, User-Friendly, Controllers
I. INTRODUCTION
Shortage of electricity is the major issue all over the world. This is the major motivation behind this research or project. Our Intelligent Power Economy System helps the individuals to control economy with no effects on comfort level. An individual using this system not only reduces the loss of
References: [1] Rudolf, L. (2001) Project Oxygen: Pervasive, Human-Centric Computing – An Initial Experience,. Advance Information System Engineering, Switzerland. [2] Honeywell energy efficient, innovative and productive company. [3] Mark, D. (1998) Smart House And Home Automation Technologies,. Gross design machine group, Washington. [4] Pipattanasomporn, M., Kuzlu, M and Rehman, S , An Algorithm for Intelligent Home Energy Management and Demand Response Analysis,. IEEE Transactions on Smart Grid. AUTHORS A Salman Afghani was born in 07/20/1958 in Pakistan and he is Professor, PhD, Advanced man machine systems, MPhil, Industrial automation, MS Mech Engg. He is working as HOD of R&D Department of Engineering Sciences at Army Public College of Management and Sciences (APCOMS), Rawalpindi Pakistan. Mehwish Iqbal was born in 09/28/1990 in Pakistan. And she is Electrical Engineer with specialization in Telecommunication from Army Public College of Management and Sciences (APCOMS), Rawalpindi Pakistan. Tayyaba Sabir was born in 10/27/1989 in Pakistan. And she is Electrical Engineer with specialization in Telecommunication from Army Public College of Management and Sciences (APCOMS), Rawalpindi Pakistan. Muhammad Ishfaq Javed was born in 04/04/1989 in Pakistan. And he is Electrical Engineer with specialization in electronics from Army Public College of Management and Sciences (APCOMS), Rawalpindi Pakistan. He is working as Research Assistant in R&D Dept of Engineering and sciences APCOMS.