This paper introduces an approach for applying real-time scheduling techniques to balance electric loads in cyber-physical energy systems. The proposed methodology aims to determine, guarantee and optimize an upper bound on the peak load of electric power, which represents a desirable feature for both the electricity supplier and the user of the electrical system. For this purpose, networked el...

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...

Time-dependent creep analysis is crucial for the performance and reliability of piezoactuators used for high-precision positioning and load-bearing applications. In this study history of stresses, deformations and electric potential of hollow rotating cylinders made of functionally graded piezoelectric material (FGPM), e.g., PZT_7A have been investigated using Mendelson’s method of successive e...

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 ...

Medium-and-long-term load forecasting plays an important role in energy policy implementation and electric department investment decision. Aiming to improve the robustness and accuracy of annual electric load forecasting, a robust weighted combination load forecasting method based on forecast model filtering and adaptive variable weight determination is proposed. Similar years of selection is c...

microgrids are nowadays used to produce electric energy with more efficiency and advantage. however, the use of microgrids presents some challenges. one of the main problems of the microgrids widely used in electrical power systems is the control of voltage, frequency and load sharing balance among inverter- based distributed generators (dgs) in islanded mode. droop method performance degrades ...

The rapid growth of the power demand in the transport sector results in a dramatic increase of carbon dioxide emissions. This is only one of many reasons why alternative drive concepts, especially electric mobility, have never been more in focus than today. A future change from combustion engines to electric drives leads to additional loads, which gives rise to the necessity to take corrective ...