Abstract With the goal of “double carbon,” wind power and PV are connected to grid on a large scale, which poses great challenge safe operation grid. The synergistic optimization “hydro-wind-PV hybrid systems” can bring into play ability coordination mutual assistance between different types sources, is one important measures increase reduce abandoned photovoltaic power. Based analysis characte...

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...

We present a novel technique for multiple-dispatching. In object-oriented programming languages, multiple-dispatching provides increased expressive power over single-dispatching by guiding method lookup using the values of all arguments instead of the receiver only. However, the efficient implementation for multiple-dispatching is still critical with regard to its success as a standard. There h...

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...

Multiple dispatching provides increased expressive power over single dispatching by guiding method lookup using the values of all arguments instead of only the receiver. However, existing languages with multiple dispatching do not encourage the dataabstraction-oriented programming style that is encouraged by traditional single-dispatching languages; instead existing multiple-dispatching languag...

We solve the multi-objective flexible job-shop problems by using dispatching rules discovered through genetic programming. While Simple Priority Rules have been widely applied in practice, their efficacy remains poor due to lack of a global view. Composite dispatching rules have been shown to be more effective as they are constructed through human experience. In this paper, we evaluate and empl...