Exact(34)
Loss predictions are vital for improving turbine efficiency.
There are few similar studies, however, that focus on the damage and loss predictions.
Michael Osborne and Carl Frey from Oxford University have put numbers to Brynjolfsson and McAfee's job loss predictions.
Firstly, variance-based sensitivity analyses are conducted to investigate the interaction of loss predictions with different inputs to the calculations.
The purpose of this dissertation is to address this, by analyzing, evaluating, and improving the damage and loss predictions.
Loss predictions are vital for the development and optimization of such small scale turbines.
Similar(26)
The planning algorithm predicts the indoor coverage by means of path loss prediction based on the IDP [10].
Calculating and applying vessel experience factors assists comparison and loss prediction.
This rainfall erosivity index is widely used for empirical soil loss prediction.
Published loss prediction correlations were developed based on large scale turbines; therefore, this work aims to develop a new approach for losses prediction in a small scale axial air turbine using computational fluid dynamics (CFD) simulations.
Heat loss prediction models for parabolic trough receivers do not consider the thermal effect of a secondary mirror.
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