Title :
Smart home automation
Author :
Sagi, Mihaly ; Mijic, D. ; Milinkov, Dejan ; Bogovac, Bojan
Author_Institution :
Telvent DMS, Novi Sad, Serbia
Abstract :
This paper elaborates the idea of using an adaptive control system for managing household electricity consumption. The proposed solution aims at reducing the overall electrical energy consumption per household, thus decreasing their monthly electricity bills. The solution is based on a component-oriented architecture that provides a high degree of adaptability to different types of users in terms of ways to access the application (smart phones, web browser), the interaction with the individual devices and independency from various types and configurations of devices. It leverages the benefits of available tools and technologies such as device controllers, web services, mobile platforms, together with well known concepts of artificial intelligence and some of the services that will be available in the near future, such as meter data management systems. Beside previously mentioned decrease of energy consumption, this solution can manage and monitor grid energy storage and household renewable energy sources, if available, and therefore its application results in offloading power grid starting from the lowest level of granularity - the end user.
Keywords :
adaptive control; energy storage; home automation; load forecasting; power consumption; power grids; renewable energy sources; adaptive control system; component-oriented architecture; electrical energy consumption reduction; electricity bills; household electricity consumption management; household renewable energy sources; power grid energy storage; smart home automation; Databases; Electricity; Energy consumption; Home automation; Meteorology; Neural networks; Power demand; Home automation; load forecasting; meter data management;
Conference_Titel :
Telecommunications Forum (TELFOR), 2012 20th
Conference_Location :
Belgrade
Print_ISBN :
978-1-4673-2983-5
DOI :
10.1109/TELFOR.2012.6419507