Sentence examples for database forecast from inspiring English sources

Exact(1)

Development of the oil recovery forecast models helps understand the relative importance of dominant reservoir characteristics and operations variables, reproduce recoveries for units included in the database, forecast recoveries for possible new units in similar geological settings, and make operations decisions.

Similar(59)

We use the monthly international prices from the World Bank commodity price database to forecast these crop areas in Ukraine.

The Huffington Post's Senate prediction model uses all of the polls in HuffPost Pollster's database to forecast the Senate elections.

The aim of this work is to evaluate the time- varying auto-adaptive (TVA) algorithm-based use of clinical microbiology laboratory database to forecast medically important drug-resistant bacterial infections.

He sang the benefits of technology while acknowledging its danger, expressing hope that fail-safe features and computer modeling could decrease the risk: "We know the premium associated with hardware reliability is high, but at this stage, operators still have a limited failure database for forecasting the required levels of intervention in ever-deeper and more remote environments".

Thomson Financial compiles a database of forecasts and came back with a figure of 3.2%.

We use historical data drawn from national and international statistical databases and forecast of their evolution using power regression functions.

Pseudo- measurements for the DG three-phase total outputs, obtained from historical database or weather forecast, were set for unmonitored DGs in [16, 17].

QFEs and QFFs were generated by a high-resolution hydrologic model (250 × 250 m2) with coupled surface subsurface physics and rainfall forcing from the Next Generation Multi-sensor QPE (Q2) spatial rainfall (1 × 1 km2) product, and from National Digital Forecast Database (NDFD) operational QPF product (5 × 5 km2).

Upon analyzing various forecasts in a large database, using various models, forecast samples and accuracy measures, we demonstrate that experts' knowledge, on average, apparently is not associated with variables which are systematically omitted from the statistical models.

In this paper, the inundation depths, which are simulated and validated by a physically based two-dimensional model (FLO-2D), are used as a database for inundation forecasting.

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