Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

In recent years, many countries have set specific goals to replace fossil fuel vehicles with the
electric ones due to environmental concerns and issues related to energy supply security; it …

In this paper, a new feature selection and forecast engine is presented for day ahead
prediction of electricity prices, which are so valuable for both producers and consumers in …

In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …

The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …

Electricity price forecast is key information for successful operation of electricity market
participants. However, the time series of electricity price has nonlinear, non-stationary and …

Wind power generation is considerably dependent on the weather condition and it is
correlated closely with the air density, wind speed, and its direction through considering the …

Economic load dispatch (ELD) is one of the important optimization problems in the operation
of power systems which can be helpful to create effective generating management plans. In …

In this paper, a new prediction model for aggregated loads of buildings has been propose.
Due to high correlation of prediction performance with related horizons and aggregated …

Although particle swarm optimization (PSO) in its standard form performs extremely well for
less complicated convex optimization problems involving reduced search space, it fails in …