Description
In response to growing concerns over rising energy costs and global warming, researchers have begun exploring innovative energy feedback mechanisms to serve as a support to reduce energy consumption .In order to promote more efficient energy conservation behavior the system needs to engage with consumers in meaningful and effective ways. This study presents a cloud connected mobile application and cloud based architecture that focuses on improving the homeowner's "know" and "care", aiming to influence actions through transformation of moral in addition to monetary savings. The system developed accesses consumer energy consumption using smart meters installed on customer premises, predicts future energy consumption using and finally provides the know and care information to the user in a mobile application .By identifying and evaluating the requirements for designing an effective eco-feedback system, this application enables users to track both historical and predicted consumption, historical and predicted expenditures, and their contribution to CO2 emission. Also, providing recommended actions, different types of comparisons, and appliance specific feedback can motivate long-term energy-efficient behavior. It helps users to reduce or shift their electricity usage during peak periods and encourages them to offset demand during peak hours to off -peak hours, thus reducing the strain on the grid. Integrating gamification elements can overcome the limitation of traditional persuasive system to stimulate their sense of competition and ambient for motivating users continued participation.
