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This paper presents a methodology for forecasting shoreline change over annual time-scales, including the prediction of the potential impact of storm sequences and the subsequent post-storm recovery.
In this paper we presented a novel methodology for forecasting the census in a Neonatal Intensive Care Unit (NICU).
In this paper we present an ensemble-based methodology for forecasting the census under a framework that simultaneously incorporates both (i) arrival trends over time and (ii) patient-specific baseline and time-varying information.
In this paper we describe a novel methodology for forecasting in the Swedish Norwegian el-certificate market, which is a variant of a tradable green certificate scheme.
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NN modeling methodology is applied successfully by Wang et al. (2005) for forecasting the value of a stock index.
Therefore, this study designed a new methodology for traffic forecasts, a device-based forecasting that consider mobile traffic from various devices for mobile services.
There have been several methodologies developed for forecasting arrival and census counts in various hospital departments [ 3- 8].
The main purpose of this paper is to gain insight into the general principles and methodologies for accident forecasting as well as current trends and future perspectives.
This paper presents a new methodology for energy demand forecasting that addresses the heterogeneity challenges in energy modeling of buildings.
This paper presents a new methodology for electricity demand forecasting on very short-term horizon based on a discrete probabilistic model (Markov Chain).
The proposed modelling approach offers an insightful and promising methodology for real-time forecasting 2-dimensional visible inundation maps during storm events.
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