Sentence examples for predictions of electrical from inspiring English sources

During the nineties predictions of electrical energy production from hydraulic or nuclear sources involve an excess during slack hours.

By using simple microstructural models of compression moulded polymer graphite composites and a FE code modified for execution on graphical processing units, we show that reliable predictions of electrical properties for these materials can now be obtained in a reasonable computational time and with acceptable accuracy and precision.

They took into account weather information variables including temperature average, relative humidity average, wind speed average and information of previous electricity consumption as their model's input and found that the combined model improves the prediction of electrical load [14].

This requires electricity utilities to make careful predictions of their electrical loads, and maintain constant co-ordination with their power stations.

Since the electrical consumption of stations is a major factor in the planning of infrastructure, a good prediction of the electrical consumption will greatly assist in the design of the station infrastructure.

Hence, the prediction of the electrical parameters of MJ solar cells is crucial for designing and evaluating the performance of this emerging technology.

Experiment and simulation results demonstrate that the proposed distributed-parameter model has a good accuracy and reliable performance in the prediction of the electrical responses.

For an accurate prediction of the electrical performance, series and shunt resistances (Rs and Rsh) of the solar devices have been taken into account.

In this scenario, three-dimensional (3D) device modeling and numerical simulation techniques play a critical role in the prediction of the electrical performance of the system under investigation.

In addition, these allow quantitative prediction of cardiac electrical activation at very high spatial (∼100 μm) and temporal (∼50 μs) resolutions and allow the identification of underlying mechanisms in a manner that cannot be achieved in experimental investigations or using less detailed computational models.

Prediction of corrosion of electrical transmission tower footings39 was achieved using a basic neural network.