The smart grid concept continues to evolve and various methods have been developed to
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …

The ability to control and optimise energy consumption at end-user level is of increasing
interest as a means to achieve a balance between supply and demand, particularly when …

This paper proposes a real-time price (RTP)-based demand-response (DR) algorithm for
achieving optimal load control of devices in a facility by forming a virtual electricity-trading …

In this paper, we study a dynamic pricing and energy consumption scheduling problem in
the microgrid where the service provider acts as a broker between the utility company and …

Demand for electricity varies throughout the day, increasing the average cost of power
supply. Time-of-use (TOU) pricing has been proposed as a demand-side management …

Demand Response Management (DRM) is a key component of the future smart grid that
helps to reduce power peak load and variation. Different from most existing studies that …

Demand-response (DR) is regarded as a promising solution for future power grids. Here we
use a Stackelberg game approach, and describe a novel DR model for electricity trading …

This paper proposes a novel incentive-based demand response model from the view of a
grid operator to enable system-level dispatch of demand response resources. The model …

Privacy-preserving data aggregation has been extensively studied in smart grid. However,
almost all existing schemes aggregate the total electricity consumption data of the whole …

A modern strategy for improving the control of generation, distribution and consumption of
electrical energy consists of launching programs affecting the demand on the consumer …