As prices on renewable energy electricity generation and storage technologies decrease, previous standard home end-users are also becoming producers (prosumers). Together with the increase of Smart Home automation need to manage energy-related interaction between consumers Grid through different Demand Response approaches, management becomes a complex multi-faceted problem, calling for an exten...

Recently home intelligent service is extended to context aware and situation aware automation service by using ubiquitous technology. In this paper, we focused on user’s context based intelligent security management for home safety application using RFID and WSN(Wireless Sensor Network). We propose a context aware home safety application model. The proposed context service support security and ...

These days, users consume more electricity during peak hours, and prices are typically higher between 3:00 p.m. 11:00 If electric vehicle (EV) charging occurs the same impact on residential distribution networks increases. Thus, home energy management systems (HEMS) have been introduced to manage demand among households EVs in networks, such as a smart micro-grid (MG). Moreover, HEMS can effici...

Traditional power grid and its demand-side management (DSM) techniques are centralized and mainly focus on industrial consumers. The ignorance of residential and commercial sectors in DSM activities degrades the overall performance of a conventional grid. Therefore, the concept of DSM and demand response (DR) via residential sector makes the smart grid (SG) superior over the traditional grid. I...

The global dwelling energy management problem can be formalized as an optimization problem of energy consumption/production. An optimal solution for the home energy management problem is usually solved by centralized solvers. The solver gets the totality of the thermal model of the dwelling but also each appliance composing the system. Nevertheless, this centralized resolution has some limits d...