In the current deregulated electricity market, flexible consumers are more active in
participating in market activities via the representation of electricity retailers. However …

Real-time electricity pricing models can potentially lead to economic and environmental
advantages compared to the current common flat rates. In particular, they can provide end …

This paper presents a novel price setting optimization problem for an electricity supplier in
the smart grid. In this framework the supplier provides electricity to a residential load …

In the future smart grid, both users and power companies can potentially benefit from the
economical and environmental advantages of smart pricing methods to more effectively …

Demand response (DR) for smart grids, which intends to balance the required power
demand with the available supply resources, has been gaining widespread attention. The …

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 …

This paper proposes a real‐time interactional pricing scheme to maximize the social welfare
of players in real‐time demand response program in smart grids. Lagrangian relaxation …

The main purpose of this study is to support a retail electric provider (REP) to make the best
day-ahead dynamic pricing decisions in a realistic scenario. These decisions are made with …

Appropriate pricing schemes are of great importance in terms of managing large-scale and
distributed controllable loads in smart grids. In this paper, a practical pricing scheme is …

With the wide application of consumer's electric appliances with flexible power supply or
start time and competitive energy markets, it is necessary for the residential consumers to …