Sentence examples for accommodating uncertainty from inspiring English sources
The study, with the unwieldly title "Grid of the Future White Paper on Accommodating Uncertainty in Planning and Operations," suggests that utility planners and operators begin using software that judges the probability of risks to the power system.
Agile software development (accommodating uncertainty and change iteratively) KEYS: Stepwise shaping following customer feedback to converge for a mutually satisfactory solution Example: developing new type of application User-experience driven; Example: Measure user retention and service usage and develop or pivot accordingly.
Here we have examined this conjecture by accommodating uncertainty in genetic divergence time estimates.
Adipose tissue is found in many vertebrates, where it represents a sophisticated means of accommodating uncertainty in energy supply.
Summary: AUGIST (accomodating uncertainty in genealogies while inferring species tress) is a new software package for inferring species trees while accommodating uncertainty in gene genealogies.
More complex parametric models, tests accommodating uncertainty in gene tree estimates [ 27], and increased precision in population parameters would all benefit our understanding of how mimetic phenotypes arise and change over time.
The results also illustrated that reliability method was capable of accommodating uncertainties in pavement parameters.
In [19, 30], the frequency deviation is incorporated explicitly into the economic decision process, which is instructive for the potential economic and technical benefits of accommodating uncertainties.
An adaptive failure compensation controller is designed which is capable of accommodating uncertainties in actuator failure time instants, values and patterns.
In this regard, probabilistic optimal power flow (POPF) is a powerful tool for accommodating uncertainties that can yield the statistics of output variables according to the distributions of input variables [18, 19].
The combination of these elements with conventional deterministic mathematical programming models offers the promise of providing an effective approach to accommodating uncertainties and a rational basis for balancing risk.
