For large customers, Electricité de France the French national electric power company stores every 10’ the amount of electric power they consume. For each customer, these measures lead to curves called electric load curves. Clustering of electric load curves is a key problem for understanding the behavior of these customers. Several methods have been used but Kohonen maps give a very nice solut...

In this paper we present the application of techniques for Correlation Dimension Estimation to estimate the model order of electrical load data. Based on a correct model order, appropriately structured neural nets for load forecasting were designed. Satisfactory results were obtained in one-hour-ahead electrical load prediction on a six months benchmark from an electric utility in the USA.

This paper proposes a novel neural model to the problem of short-term load forecasting (STLF). The neural model is made up of two self-organizing map (SOM) 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 on load data extracted from a Brazilian electric utility, and compa...

A study on plug-in electric vehicle (PEV) charging load and its impacts on distribution transformers loss-of-life, is presented in this paper. The assessment is based on residential PEV battery charging. As the exact forecasting of the charging load is not possible, the method for predicting the electric vehicle (EV) charging load is stochastically formulated. With the help of the stochastic mo...

Arch shaped microelectromechanical systems (MEMS) have been used as mechanical memories, micro-relays, micro-valves, optical switches, and digital micro-mirrors. A bi-stable structure is characterized by a multivalued load deflection curve. Here, the symmetry breaking, the snap-through instability, and the pullin instability of a sinusoidal shaped MEMS under static and dynamic electric loads ha...

Demand for electric power typically depends on the temperature and several other weather factors. It also depends on the day of the week and the hour of the day. This paper models electric power demand for close geographic areas that are called load pockets. We have developed a statistical model for load pockets. This model describes the load during the summer period. In this model we took into...

With the development of restructured power systems and increase of prices in some hours of day and increase fuel price, demand response programs were noticed more by customers. demand response consists of a series of activities that governments or utilities design to change the amount or time of electric energy consumption, to achieve better social welfare or some times for maximizing the benef...