![]() However, recent literature has placed considerable emphasis on generating electricity from renewable sources as a cheap and environment-friendly alternative. Traditionally, electricity is generated from non-renewable sources. Electricity can be defined as the set of physical phenomena associated with the flow of electric charge ( Ipakchi and Albuyeh, 2009). Examples of such sources are natural gas, petroleum, coal, and nuclear power. For example, oil takes thousands of years to build naturally and cannot be available at a relevant proportion of consumption. Non-renewable sources are not renewable at constant rates. Other examples of renewable sources are wind power, tidal power, solar power, wave power, radiant energy, hydroelectricity, compressed natural gas, biomass, and geothermal power ( Ipakchi and Albuyeh, 2009). Sunlight is an example of renewable source it is available on a daily basis in most parts of the world. Renewable sources are available in a timely manner from natural resources on regular or irregular bases. An efficient utilization for using smart grid mostly depends on the wide-spread participation of users ( Alam et al., 2013).Įnergy sources are classified into renewable and non-renewable sources. Facilitating a reliable and well-grounded smart grid system can be achieved by expediting and optimizing the power requests in a real-time and automated fashion ( Erol-Kantarci and Mouftah, 2015). Electricity is a secondary source of energy, and it uses other sources, such as coal and wind. The main objective of smart grids is to provide cost-effective and environmentally friendly electrical power to consumers. To overcome these challenges, the concept of smart grids has emerged. The future advancement of electrical grids is challenged by both environmental and economic concerns. The notion of automation is strongly associated with electrical energy. Hence, an efficient in-home smart grid control and management solutions deem useful. The continual increase in electricity consumption by residential premises is expected to account for 30–40% of the total electricity usage worldwide ( Tchuisseu et al., 2019). In addition to the widespread of renewable energy initiatives to accommodate the global increase in electricity demands, a more efficient and well-managed electricity resources is needed. Electricity provides the necessary power to run all modern appliances. The advancements in modern societies are regarded in the development and deployment of electrical grids. ![]() Simulation results show improvements in terms of consumed energy expressed as total saving in electricity bill cost. ![]() We compare the performance of the proposed algorithm against other schemes from the literature. The paper presents two scheduling schemes: a non-preemptive and a preemptive one. ![]() The proposed framework consists mainly of a scheduling mechanism formulated as a dynamic program. The problem is formalized as a discrete scheduling problem which employs an adaptive algorithm. Moreover, each request is assumed to have maximum bounds on both the tolerable start of service and the total interruption delays. The network is assumed to allocate the available power to the incoming requests from appliances and serve each appliance at a fixed rate according to its initial requirements. In this paper, we present a scheduling framework for serving a request from electrical appliances in a smart home network. Thus, a key aspect in the design of smart grids is scheduling the start time and duration of run of electrical appliances to minimize the amount of energy consumed, as well as to force a cap on the maximum amount of energy consumed at any given time. A reliable and well-grounded smart grid system can be achieved by well handling the in-home power requests. The integration between the technological advancement in electricity grids and the environmental awareness led to the rise of smart grids. Due to economic and environmental factors, energy consumption is of great concern to both users and service providers. In a smart home, all electrical and smart appliances are interconnected together to form a special private network. Smart home appliances and applications are gaining popularity, due to the high level of service they provide to users. 2School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada.1Computer Science Department, Jordan University of Science and Technology, Irbid, Jordan.Wail Mardini 1 Yaser Khamayseh 1 Hussein Mouftah 2 * ![]()
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