This paper studies the power scheduling problem for residential consumers in smart grid. In
general, the consumers have two types of electric appliances. The first type of appliances …

In this paper, we focus on the problems of load scheduling and power trading in systems
with high penetration of renewable energy resources (RERs). We adopt approximate …

In this paper, we propose a solution to the problem of scheduling of a smart home appliance
operation in a given time range. In addition to power-consuming appliances, we adopt a …

The smart city in urban planning and architecture is a set of urban planning strategies aimed
at optimizing and innovating public services so as to relate the material infrastructures of …

Power companies are unable to withstand the consumer power requirement due to growing
population, industries and buildings. The use of automated electrical appliances have …

In this paper, we propose mathematical optimization models of household energy units to
optimally control the major residential energy loads while preserving the user preferences …

Demand response for residential users is essential to the realization of modern smart grids.
In this paper, we propose a multiobjective approach to designing a demand response …

In this paper, we propose a new pricing algorithm to minimize the peak-to-average ratio
(PAR) in aggregate load demand. The key challenge that we seek to address is the energy …

New technological advances based on software, hardware and new materials must be
implemented in smart grids. In addition, these advanced electrical grids must incorporate …

Learning efficient predictive models in dynamic environments requires taking into account
the continuous changing nature of phenomena generating the data streams, known in …