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The GwyriAD plant is forecast to process 11,000 tonnes of food waste a year and produce enough electricity to power 700 homes annually.
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Whilst the cohort study is being implemented to the forecast timeline, the end of the process evaluation is now forecast to be in Spring 2016.
Thanks to recent advances in data analytics technologies, oil and gas companies now have the prospect to considerably widen and systematize the scope of their forecasting to include operational processes up and down the value chain.
The model of the process (linear or nonlinear) is used in order to forecast the process outputs at future time instants.
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.
The aim of the tool is to better understand and to forecast long-term processes in peatland ecosystems in order to help scientists, water boards and environmental agencies in decision making about long-term management.
Then, optimization of trehalose conversion ratio from kudzu root starch hydrolysate was carried out with a four-factor 12-level experimental design to forecast the optimal process conditions.
The simplest way to forecast geophysical processes, an engineering problem with a widely recognized challenging character, is the so-called "univariate time series forecasting" that can be implemented using stochastic or machine learning regression models within a purely statistical framework.
The transfer function is used to post-process the forecast.
I continue to bring a greater degree of judgment to the forecasting process than I ordinarily would in more certain times.
Weighing this balance between the force of history and the force of current events is critical to the forecasting process because ignoring either one can easily lead to bad projections.
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CEO of Professional Science Editing for Scientists @ prosciediting.com