The experience with deregulated electricity market has shown the increasingly important role of short-term electric load forecasting in the energy producing and scheduling. However, because of nonlinear, stochastic and nonstable characteristics associated with the electric load series, it is extremely difficult to precisely forecast the electric load. This paper aims to establish a novel ensemb...

Based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. However, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. To resolve this problem, hybridization of the fuel cell and energy storage device...

Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly and it also reduces the generation cost and increases reliability of power systems. In this work, a fuzzy logic approach for short term load fore...

In the field of power systems there is an active research on methods to limit the peak load of power demand. Recently, a new approach to the automatic management of electric loads has been proposed, which is based on scheduling techniques derived from real-time computing systems. The research on real-time scheduling encompasses several aspects, including scheduling algorithms and analysis techn...

Within this contribution the optimization of the electric current flow control within a hybrid electric powertrain system and hence its power and energy management strategy is introduced. This contribution describes the control optimization . Power and energy management are methods applied to hybrid electric powertrain systems to be used in modern vehicles. Hereby the electric current flow with...

Electric locomotive is a kind of high power rectifier load, and its load characteristics will have a significant impact to safe, stable and economic operation of power system. This paper mainly analyses load characteristics of harmonic and reactive power for electric locomotive. Simulation model of electric locomotive is set up based on time trigger; it is so better conform to the dynamic chara...

Short term load forecasting (STLF) plays an important role in the economic and reliable operation ofpower systems. Electric load demand has a complex profile with many multivariable and nonlineardependencies. In this study, recurrent neural network (RNN) architecture is presented for STLF. Theproposed model is capable of forecasting next 24-hour load profile. The main feature in this networkis ...

A keypoint of the control of a power system is the forecast of the short term load. This paper presents a dynamic model for short-term load forecasting (STLF) which uses a recurrent neural network. This network can be used to build empirical models for the load of a dynamic system. We investigate this problem applying a basic neural network with feedback connections which is unfolded in time an...

Electricity is indispensable and of strategic importance to national economies. Consequently, electric utilities make an effort to balance power generation and demand in order to offer a good service at a competitive price. For this purpose, these utilities need electric load forecasts to be as accurate as possible. However, electric load depends on many factors (day of the week, month of the y...