Sentence examples for aim of forecasting from inspiring English sources

In recent years, the economic and political aspects of energy problems have prompted many researchers and analysts to focus their attention on the Hubbert Peak Theory with the aim of forecasting future trends in oil production.

In this section, we aim to forecast the popularity of a venue and predict the success of that venue after it has opened.

Federal officials aim to forecast potential health and safety infringements.

Detailed data about carriage and transmission are therefore of utmost value when aiming to forecast the entire prevention potential of the conjugate vaccines.

As previously described (Garrido et al., 2008), the aim of searching for diagnostic tools to determine sperm quality is complicated by the multifactorial nature of a successful pregnancy, and we are indeed aiming to forecast the combined importance of oocyte, sperm, endometrial environment and endometrium.

A kinetic model, which aimed to forecast the performance of co-digestion and to assist reactor design, was developed from long-term semi-continuous experiments.

Comparison of these results to those of the Global Fire Emissions Database (GFEDv2) indicate strong linear relationships (r² > 0.9), suggesting that the timely FRP data available from a GOES real-time data feed is likely to be a suitable fire emissions source strength term for inclusion in schemes aiming to forecast the concentrations of atmospheric constituents affected by biomass burning.

Quantifying the influence of colony size on growth rate is crucial for the development of predictive models aimed at forecasting blooms of colonial cyanobacteria, as well as for a more general understanding of phytoplankton dynamics.

The definitions of background and unrest are necessarily subjective, since they have to reflect the specific aim of the forecast.

Furthermore, this study aims at forecasting the development of urban settlements through the application of the cellular automata model SLEUTH; the case study concerns the Municipality of Altamura (Apulia region, Italy).

At the third stage, LSTAR-LST-GARCH models were augmented with RBF and MLP neural networks to improve the modeling and forecasting capabilities of the researcher aiming at forecasting crude oil prices.