In this paper, we present Taguchi’s and rolling modeling methods of artificial neural network (ANN) for very-short-term electric demand forecasting (VSTEDF) from the consumers’ viewpoint. The rolling model is a metabolism technique that guarantees input data are always the most recent values. In ANN prediction, several factors that may influence the model should be well examined. Taguchi’s meth...

It has been recognized that an increased penetration of electric vehicles (EVs) may potentially alter load profile in a distribution network. As EVs are regarded as a diversely distributed load so a deterministic method, to predict EV charging load, may not account for all possible factors that could affect the power system. Thus, a stochastic approach is applied that takes into account various...

The electric power load forecasting is critical for stable electric power system supply. In this paper, a seasonal ARIMA model was used to effectively forecast power load data characterized using periodicity. A numerical example reveals that the seasonal ARIMA model effectively forecast periodic power load.

In this report, the distribution and deviation of electric field in the active medium of the TE CO2 laser has been investigated due to the injection of net electron charge beam as a plasma generator. Some parameters of system have been considered, such as density and mean-free-path of injected charge beam. The electric potential and electric field distribution have been simulated by solving the...

The electrical deregulated market increases the need for short-term load forecast algorithms in order to assist electrical utilities in activities such as planning, operating and controlling electric energy systems. Methodologies based on regression methods have been widely used with satisfactory results. However, this type of approach has some shortcomings. This paper proposes a short-term loa...

Electric power is one of the inherent things in the modern world. Recently, the renewable and non-renewable energy based Distributed Generator (DG) units are used for generation of electric power to satisfy the local load of the distribution system. This paper proposes a chaotic artificial bee colony (CABC) algorithm based optimal placement and sizing of various categories of DGs that are simul...

Electric power is the most essential raw material impacting the bottom line of quality production economically on a commercial scale. It can‟t typically be stored like other commodities and is essentially required with continuous flow all the time. Electric power can be visualized as the epitome of „just in time‟ philosophy used like the components delivered to a production line by a trusted an...