As the transmission capabilities of power systems face challenges from renewable
generation and massive electricity usage, power load resources have an increasingly …

The increasing demand of energy in the traditional grids is getting more complex, less
feasible, harmful, uneconomical and high in power losses. This paper presents an efficient …

Smart appliances bring convenience to people's lives, but the high electricity cost and high
peak load are still drawbacks. The scheduling optimization of household electricity tasks can …

Price forecasting (PF) is the primary concern in distributed power generation. This paper
presents a novel and improved technique to forecast electricity prices. The data of various …

The utility function is very significant for solving the real-time pricing problem of smart grid.
Based on the Logistic function, a new utility function is constructed to satisfy four properties …

The appeal for more reliable, efficient and resilient power grids has become indispensable
with the recent technological development and ever-increasing demand for electrical …

Several load scheduling optimization models have been proposed for smart grid systems.
Nevertheless, most of the existing models assume the presence of a pricing mechanism …

The current lifestyle of humanity relies heavily on energy consumption, thus rendering it an
inevitable need. An ever-increasing demand for energy has resulted from the increasing …

Smart grids that integrate household renewable energy sources and share information with
households can help create and maintain a smarter data-driven environment. Within this …

In a smart grid system, different types of electricity users such as residential, commercial and
industrial users have different utility functions. This paper proposes a nonlinear constrained …