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As a result of the aforementioned works, the Health and Social Care Modelling Group (HSCMG) in collaboration with the Care Services Efficiency Delivery (CSED, Department of Health) developed a software implementation of the forecasting framework [ 10], known as FLoSC (Forecasting Length-of-Stay and Cost) (cf. http://www.healthcareinformatics.org.uk/flosc/).uk/flosc/
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Section 3 is dedicated to the implementation of the proposed forecasting system, each sub-system functionality being exemplified by figures.
The implementation of our forecasting procedure relies on the multivariate linear Gaussian state space framework, and is applied to the national French hourly electricity load.
It will require significant changes in grid planning and operations, continued technical evolution in the design and operation of wind turbines, further adoption and implementation of wind forecasting in the control room, and incorporation of market and policy initiatives to encourage more flexible generation.
To this end, the development and implementation of several forecasting methods will be discussed.
The paper outlines both the methodological and algorithmic aspects of the modelling, forecasting and signal extraction procedures, including the design and implementation of forecasting support software with a specially designed Graphical User Interface within the Matlab® computing environment.
With new tools (smartphones and tablets) and clever implementation of Bayesian forecasting, use of models for helping decision making under uncertainty should be more developed in clinical routine.
The implementation of the proposed approach for wind power forecasting is both novel and effective.
Accordingly, we have started the implementation of routine ash forecasts from HYSPLIT, using the same ten volcanoes, three sizes of eruptions, and two eruption column heights as we use for ASHFALL.
Full implementation of the White Paper runway proposals resulted in a forecast yield of an additional £13 billion per annum in GDP by 2030.
Illustration of the "off-line optimization and online forecasting" scheme for the implementation of the ETAS model in CSEP.
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