Search results for "forecasting"
showing 10 items of 329 documents
Electric Mobility in Portugal: Current Situation and Forecasts for Fuel Cell Vehicles
2021
In recent years, the growing concern for air quality has led to the development of sustainable vehicles to replace conventional internal combustion engine (ICE) vehicles. Currently, the most widespread technology in Europe and Portugal is that of Battery Electric Vehicles (BEV) or plug‐in HEV (PHEV) electric cars, but hydrogen‐based transport has also shown significant growth in the commercialization of Fuel Cell Electric Vehicles (FCEV) and in the development of new infrastructural schemes. In the current panorama of EV, particular attention should be paid to hydrogen technology, i.e., FCEVs, which is potentially a valid alternative to BEVs and can also be hybrid (FCHEV) and plug‐in hybrid…
The value relevance of earnings, operating cash flow and accruals: A study on UK data
2003
The purpose of the work reported in this paper is to establish the value relevance of earnings, operating cash flows and accruals for UK companies. Innovations in this paper are threefold: the use ...
Croissance et convergence des pays de la zone CFA : une étude par les données de panel non stationnaires
2011
During the recent years, african countries in the CFA zone have experienced many economic changes on the one hand through the measures initiated by bilateral and multilateral donors and on the other hand through the economic and monetary integration policies. Thus, relying on the assumption that because of these interventions, the economic systems incorporate various phenomena such as structural change and economic interdependencies, we studied their major implications on growth, convergence and growth predictability. Emphasis is first placed on the major features of integration policies in a monetary union, while stressing the possible implications of such policies on the economic dynamics…
Retail pricing decisions and product category competitive structure
2010
This study addresses the use of demand forecasting techniques by retailers to support their decision making. Specifically, the authors propose a pricing decision support model for retailers to estimate optimal prices, whose output depends on the configuration of a supporting measurement model. The measurement model is a demand function that relates sales and prices within the category; optimal prices are those whose effects on demand and retail margins maximize the category's profitability. This investigation focuses particularly on the role of competitive structure, such that the authors consider two types of price competition asymmetries for demand forecasting: those depending on the bran…
Load Demand Analysis of Nordic Rural Area with Holiday Resorts for Network Capacity Planning
2019
Most of the Nordic holiday resorts are in rural area with low capacity distributed network. The rural area network is weak and needs capacity expansion planning as the load demand of this area are going to increase due to penetration of electric vehicles and heat pumps. Such type of rural network can also be operated as a micro-grid, and therefore load analysis is required for appropriate operation. The load analysis will also be useful for finding proper sizing of distributed energy resources including energy storage. In this work, load demand analysis of a typical Nordic holiday resorts, connected in rural grid, is presented to find out the load variation during the usage periods. The loa…
How relevant are local climate zones and urban climate zones for urban climate research? Dijon (France) as a case study.
2018
17 pages; International audience; Several typologies of urban surface properties have been proposed, in recent years, for urban heat island studies and climate modeling. Some were specifically developed for cities and urban climate issues, like the Urban Climate Zones, and the more recent Local Climate Zones. The initial objective of this paper is to evaluate the capacity of these two typologies to identify thermal environments in and around cities, and to determine which typology best captures the daily spatio-temporal patterns of surface and urban canopy heat islands. To simulate urban climate with a model, LULC data based on a given typology are required. To avoid circularity, we combine…
Estimation of Value-at-Risk on Romanian Stock Exchange Using Volatility Forecasting Models
2013
This paper aims to analyse the market risk (estimated by Value-at-Risk) on the Romanian capital market using modern econometric tools to estimate volatility, such as EWMA, GARCH models. In this respect, I want to identify the most appropriate volatility forecasting model to estimate the Value-at-Risk (VaR) of a portofolio of representative indices (BET, BET-FI and RASDAQ-C). VaR depends on the volatility, time horizon and confidence interval for the continuous returns under analysis. Volatility tends to happen in clusters. The assumption that volatility remains constant at all times can be fatal. It is determined that the most recent data have asserted more influence on future volatility th…
Regionalizing rainfall at very high resolution over la Réunion island using a regional climate model.
2014
Abstract Regional climate models (RCMs) should be evaluated with respect to their ability to downscale large-scale climate information to the local scales, which are sometimes strongly modulated by surface conditions. This is the case for La Réunion (southwest Indian Ocean) because of its island context and its complex topography. Large-scale atmospheric configurations such as tropical cyclones (TCs) may have an amplifying effect on local rainfall patterns that only a very high-resolution RCM, forced by the large scales and resolving finescale processes, may simulate properly. This paper documents the capability of the Weather Research and Forecasting Model (WRF) RCM to regionalize rainfall…
Visions for regenerative medicine: interface between scientific fact and science fiction.
2006
This article gives a brief overview of the authors' views on the future development of tissue engineering with respect to the challenges both to the materials and life sciences. Emphasis will be placed on the advantages of three-dimensional bioresorbable polymers in combination with relevant molecular cues and the application of autologous stem or progenitor cells. There is a requirement for much more diversity in the synthesis of so-called "intelligent" materials, which respond to external stimuli, as well as the development of novel drug and gene delivery systems. In addition, much more basic research is necessary in developmental biology and the application of modern cell and molecular b…
Visualizing Confidence in Cluster-based Ensemble Weather Forecast Analyses
2020
In meteorology, cluster analysis is frequently used to determine representative trends in ensemble weather predictions in a selected spatio-temporal region, e.g., to reduce a set of ensemble members to simplify and improve their analysis. Identified clusters (i.e., groups of similar members), however, can be very sensitive to small changes of the selected region, so that clustering results can be misleading and bias subsequent analyses. In this article, we — a team of visualization scientists and meteorologists-deliver visual analytics solutions to analyze the sensitivity of clustering results with respect to changes of a selected region. We propose an interactive visual interface that enab…