Energy aware scheduling policy for a Smart card operated ‘Prepaid Energy Meter’- with Adaptive load regulator Applicable for Solar Electric Grid. Joydeb Roy Chowdhury 1 , Tribeni Prasad Banerjee 2 1 Scientist, Embedded Systems Laboratory. 2 Project Assistant Embedded Systems Laboratory – Central Mechanical Engineering Research Institute, Durgapur, India. Dr. A. Chattopadhya 3, Dr.A.K.Bhattacharjee 4 3 Professor, Department of Statistics, Burdwan University, Burdwan, India. 4 Professor Department of Electronics and telecommunication Engineering National Institute of Technology, Durgapur, India. Abstract‐ It is important to realize that residents consider their home to be a safe and comfortable place to live in. Sometimes technology is seen as an intruder in their safe and comfortable environment where residents are afraid to loose control over their home. Some people even fear the use of technology in their home particularly in rural area. So technology and the home environment are not cooperating each other. Smart home technology for elderly and disabled people is another aspect which is important to be considered. Some solutions are implemented to reduce the need to do things but it is also important to implement solutions that increase the participation of the resident in the activity. We consider the smart home electricity management system where electricity is available from a solar electric grid. Due to environmental fluctuation, manual bill payment mode it is difficult to manage such system automatically without any human intervention. The current paper discus the design methodology of an electricity management technology suitable for smart home environment which reduces the human interventions to a considerable amount. The system is designed with an embedded processor which can deliver controlled electricity through a prepaid smart card depending on electricity generation. Thus manual bill payment and switching off the load in a constrained environment is removed. We consider the design methodology of such system with necessary hardware and software based scheduling policy which leads to develop an energy aware smart home technology. Keywords: Embedded Processor, Power state Modeling, Stochastic model, Energy aware system, Smart card, Prepaid energy meter. I. INTRODUCTION The increasing cost of deployment of conventional electric grid particularly in a geographically isolated island or a remote location justifies the installation of solar photo voltaic based power plant where electricity is available through isolated solar electric grid. There are various constrains associated with the proper utilization of this energy. One such constrain is uncertainty and poor quality of grid voltage generation for variable solar radiation (due to cloudy weather). The other is switching of the load during the period of low energy generation due to environmental weather condition. This ultimately increases more human involvement into the system. To address these particular issues an energy aware prepaid memory card based electronic energy meter is developed which can take care these two aspects without any human intervention and leads to a smart home technology with better transparency and load regulation. The current paper describes the design methodology of this energy aware device for home electricity management system. II. DESIGN OBJECTIVE The first objective is to design a smart electricity management system suitable for constrained energy source. The second objective is to minimize the human intervention in the energy utilization process so that the system is more suitable under a constrained environment without any black out. More over as the system operates with minimum intervention it is suitable for disable or elder people resides in a house. III. CHALLENGE The smart card activated prepaid energy meter with adaptive load regulator is designed to serve the better consumers load regulation with minimum human intervention..The main challenge of this technology is to design a reliable energy aware hardware taking time varying constrained grid voltage into consideration. This particular aspect motivates to design a reliable energy management system which can understand the environment and control the system with an advanced scheduling policy. It can adapt the performance depending on the spatio- temporal characteristics of energy availability.