Sentence examples for forecast process from inspiring English sources

The reactor model accurately forecast process dynamics for both scenarios with and without humic acid.

Examining this graph reveals if the forecast process yields results that are systematically different from subsequent results and raises questions about how and why any differences might exist.

The single-valued streamflow forecasts reflect various run-time modifications, or "manual data assimilation", applied by the human forecasters in an attempt to reduce error from various sources in the end-to-end forecast process.

Being an ensemble extension of variational assimilation (VAR), MLEF also offers a strong connection with the traditional single-valued forecast process through the control, or the maximum likelihood, solution.

While increasing accuracy of forecast models implies that humans may no longer be needed in the forecast process at some point in the future, there is currently still a need for human intervention.

Our study allows insights to be gained on potential improvements to intermittent demand forecasting processes and, subsequently, the design effectiveness of forecasting support systems.

Finance teams, which are not known for their flexibility to begin with, often have trouble changing their traditional planning, budgeting, and forecasting processes to accommodate radically new IoT business models.

We need a system to identify changes and build into our middle management / forecasting processes and a commitment to managing it.

Even a mid-level finance pro can move an organization's planning, budgeting and forecasting processes beyond Excel spreadsheets so managers have the data and analytics needed to understand those "what-if" scenarios and utilize predictive analytics and forecasting – the kinds of things that historically were stuck in The Office of the Few.

Even a mid-level finance pro can move an organization's planning, budgeting and forecasting processes beyond Excel spreadsheets so managers have the data and analytics needed to understand those "what-if" scenarios and utilize predictive analytics and forecasting – the kinds of things that historically were stuck in The Office of the Few.

These are forecast (processes that precede the learning effort), execution control (processes that occur during learning) and self-reflection (processes that occur after learning).