This paper presents a proposed three-Dimensional (3D) computational electrochemical simulation model for simulation and evaluation performance of Polymer Electrolyte Membrane (PEM) fuel cell. The proposed model is used to predict the output voltage, efficiency, hydrogen supply and study the transient response of PEM power plant when subjected to variable load connected to it. Additionally, the ...

Better predictionmodels for the upcoming supply of renewable energy are important to decrease the need of controlling energy provided by conventional power plants. Especially for successful power grid integration of the highly volatile wind power production, a reliable forecast is crucial. In this chapter, we focus on shortterm wind power prediction and employ data from the National Renewable E...

The power factor in electrical systems is of paramount importance because the influence on economic cost energy consumption as well quality requested by grid. Low affects both consumers and suppliers due to an increase current requirements for installation, bigger sizing industrial equipment, conductor wiring that can sustain higher currents, additional voltage regulators equipment. In this wor...

bankruptcy is an event with strong impacts on management, shareholders, employees, creditors, customers and other stakeholders, so as bankruptcy challenges the country both socially and economically. therefore, correct prediction of bankruptcy is of high importance in the financial world. this research intends to investigate financial crisis prediction power using models based on neural network...

Short-term wind prediction over different time steps is vital for wind farms in operation for various applications. Considering the complexity of atmospheric processes governing wind, time series models are preferred over physical models for wind prediction. Artificial neural networks (ANNs), which perform a non-linear mapping between inputs and outputs, provide an alternative approach for wind...

Wind power energy has received the biggest attention among the new renewable energies. For achieving a stable power generation from wind energy, the accurate analysis and forecasting of wind power pattern is required. In this paper, we propose subspace clustering method for generating clusters of similar wind power patterns from data to be analyzed and the calendar–based temporal associative cl...

Many sophisticated methods are currently available to perform protein secondary structure prediction. Since they are frequently based on di,erent principles, and di,erent knowledge sources, signi>cant bene>ts can be expected from combining them. However, the choice of an appropriate combiner appears to be an issue in its own right. The >rst di@culty to overcome when combining prediction methods...

Weather and environmental factors are verified to have played significant roles in historical major cascading outages and blackouts. Therefore, in the simulation and risk assessment of cascading outages in power systems, it is necessary to consider the weather and environmental effects. This paper proposes a method for the risk assessment of weather-related cascading outages. Based on the analy...

THE PURPOSE. Conduct a study to improve the reliability of forecasting magnitude power consumption and losses at an industrial enterprise. METHODS. Methods are used determine predict parameters electricity facilities. RESULTS. To clarify losses, it is proposed use coefficients that take into account type load curves show ratio values sum squares currents (powers) variable curve average (powers)...