User:Alexcash305

Another aspect that the smart homes provide is the efficient management energy. The rapid development of technology has granted homeowners and added ability. Consumers could now regulate the consumption of energy in their homes. The objective is to minimize energy consumption and optimize usage. Devices could be programmed to operate reducing the strain on power grids. With rising cost associated in regulating climate and visibility home owners have felt hardships. By interfacing with smart devices consumers are seeking ways to minimize expenditures. Inhabitants can effortless control appliances. Some devices can prompt user for interaction to reduce energy loss. With the convenience of smart and IoT devices residence can conserve usage and minimize waste. Not only do smart homes provide convenience but they also help reduce energy footprint thru data fusion. Beacons can detect activities within a sector. Algorithm can determine the best times to initiate appliances. With the use of sensors, scheduling and inputs energy consumption is reduced. In addition convenience and comfort of the residence is enhanced. Sensor detect the occupant position in the home to maximize efficiency. Idle devices conserve energy until services are required. The bases of the technology is to reduce the carbon footprint and maximizing the delivery when devices are utilized. The smart homes utilize a scheduling strategy and sensors to minimize expenditures. Metrics are also generated to initiate scheduled usasages. The environment customizes to feet the requirement of the user. In this section we will examine the works in the area of energy conservation. In Lu et al work we examine the optimization of consumption through scheduling efficiency. The work describes a method of reducing cost by scheduling usage of Smart devices in correlation with grid demands. The paper proposes an alternative to influx of cost by dispersing the usage throughout the day. In essence efficiency is optimized and cost incentives are issued for the use of appliances during ide time periods. With the use of smart devices appliances can be tasked during non peak hrs. Energy providers grant incentives to reward usage. Some appliances such as washer,dryers and dishwashers can programmed for usage during specific intervals. While others inflict a continuous demand on the grid. The smart home network provides the ability of residence to operate during discounted times. Conveyance and cost reduction is an immediate return on the investment. The work also describes how the stability of the power grid is sustained when the demands are decreased. In turn the reduced surges in usage provides less cost which is given back to the consumer. The speaker describes how some residence will examine the cost with convenience. The savings provide an incentive for adapting schedules. The behavior of consumers to change the original electricity consumption patterns will bring inconvenience. The level of the inconvenience will affect consumers whether to participate in the DR programs[16]. The ability to utilize smart devices provides and added incentive. The author then touches on the requirements of fixed appliance that utilize a specific amount of energy. With these devices data fusion can be implemented to reduce cost. The centralized distributed controls provide comfort and conveyance. With the IoT user have the ability to reduce the inconvenience with schedule conflicts. Appliances can be initiated to coincide with reduced load schedules. Today many homes are reducing their footprint. The work then goes into describing how Smart Home provide a means for monitoring and maximizing the distribution of energy. The work concludes by addressing the future evolutions of energy management by grids. [16] X. Lu et al, "Optimal scheduling of household appliances for smart home energy management considering demand response," Natural Hazards, vol. 88, (3), pp. 1639-1653, 2017. [1]G. Amato et al, "Robotic Ubiquitous Cognitive Ecology for Smart Homes," Journal of Intelligent & Robotic Systems, vol. 80, (S1), pp. 57-81, 2015. [2]M. Hasan and Y. H, “Innovative Developments in HCI and Future Trends,” International Journal of Automation and Computing, vol. 14, no. 1, pp. 10–20, Feb. 2017 [3]B. Khaleghi, F. Karray, and R. S, “Review of Smart Home Energy Management Systems. Energy Procedia,” Energy Procedia, pp. 504–508, 2016 [4]W. Bin Zhou, “Smart home energy management systems: Concept, configurations, and scheduling strategies,” Renewable and Sustainable Energy Reviews, pp. 30–40, 2016