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...

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.

Energy is one of the most important and essential source of life for the mankind. Among all types of sources, Electrical Energy is basis for development in any society or nation. In India substantial and sustained economic growth is creating enormous demand for electric energy. To meet the demand, many electrical power generating plants were installed, yet the gap between demand and supply has ...

There is cause and effect relationship between increase in load due to increasing penetration of electric vehicles (EV) load that causes unbalanced conditions and affect the power quality such as voltage degradation and even damage the equipment if the system is not properly managed. This paper presents detailed review of energy supply and management in conjunction with load synchronization thr...

Notice Concerning Copyright Material EV-TEC members are given permission to copy without fee all or part of this publication for internal use if appropriate attribution is given to this document as the source material. Acknowledgements This is the final report for the Electric Vehicle Transportation and Electricity Convergence (EV-TEC) research project T-40 titled " The Impact of PHEV/BEV Charg...

This paper proposes a novel neural model to the problem of short-term load forecasting. The neural model is made up of two self-organizing map nets | one on top of the other. It has been successfully applied to domains in which the context information given by former events plays a primary role. The model was trained and assessed on load data extracted from a Brazilian electric utility. It was ...