Customer analyticsCustomer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services in order to satisfy customers. With that in mind, the productive system is considered from its beginning at the production level, to the end of the cycle at the consumer.
100% renewable energy100% renewable energy means getting all energy from renewable resources. The endeavor to use 100% renewable energy for electricity, heating, cooling and transport is motivated by climate change, pollution and other environmental issues, as well as economic and energy security concerns. Shifting the total global primary energy supply to renewable sources requires a transition of the energy system, since most of today's energy is derived from non-renewable fossil fuels.
Énergie renouvelableLes énergies renouvelables (parfois abrégées EnR) proviennent de sources d'énergie dont le renouvellement naturel est assez rapide pour qu'elles puissent être considérées comme inépuisables à l'échelle du temps humain. Elles proviennent de phénomènes naturels cycliques ou constants induits par les astres : le Soleil essentiellement pour la chaleur et la lumière qu'il produit, mais aussi l'attraction de la Lune (marées) et la chaleur engendrée par la Terre (géothermie).
Electricity retailingElectricity retailing is the final sale of electricity from generation to the end-use consumer. This is the fourth major step in the electricity delivery process, which also includes generation, transmission and distribution. Electricity retailing began at the end of the 19th century when the bodies which generated electricity for their own use made supply available to third parties. In the beginning, electricity was primarily used for street lighting and trams. The public could buy once large scale electric companies had been started.
Prévision d'ensemblesvignette|En haut: Modèle déterministe du WRF pour la prévision de trajectoire de l'ouragan Rita en 2005. En bas : Dispersion des différents modèles utilisés par le National Hurricane Center pour la même tempête. La prévision d'ensembles est une méthode de prévision numérique du temps utilisé pour tenter de générer un échantillon représentatif des états futurs possibles d'un système dynamique. En effet, ni les observations, ni l'analyse, ni le modèle de prévision ne sont parfaits et la dynamique atmosphérique est très sensible, dans certaines conditions, à la moindre fluctuation.
Aggregation problemIn economics, an aggregate is a summary measure. It replaces a vector that is composed of many real numbers by a single real number, or a scalar. Consequently, there occur various problems that are inherent in the formulations that use aggregated variables. The aggregation problem is the difficult problem of finding a valid way to treat an empirical or theoretical aggregate as if it reacted like a less-aggregated measure, say, about behavior of an individual agent as described in general microeconomic theory (see Representative agent, Heterogeneity in economics).
Energy crisisAn energy crisis or energy shortage is any significant bottleneck in the supply of energy resources to an economy. In literature, it often refers to one of the energy sources used at a certain time and place, in particular, those that supply national electricity grids or those used as fuel in industrial development. Population growth has led to a surge in the global demand for energy in recent years.
Transportation forecastingTransportation forecasting is the attempt of estimating the number of vehicles or people that will use a specific transportation facility in the future. For instance, a forecast may estimate the number of vehicles on a planned road or bridge, the ridership on a railway line, the number of passengers visiting an airport, or the number of ships calling on a seaport. Traffic forecasting begins with the collection of data on current traffic. This traffic data is combined with other known data, such as population, employment, trip rates, travel costs, etc.
Land-use forecastingLand-use forecasting undertakes to project the distribution and intensity of trip generating activities in the urban area. In practice, land-use models are demand-driven, using as inputs the aggregate information on growth produced by an aggregate economic forecasting activity. Land-use estimates are inputs to the transportation planning process. The discussion of land-use forecasting to follow begins with a review of the Chicago Area Transportation Study (CATS) effort.
Pic pétrolierthumb|upright=1.6|Courbes cumulées de production de pétrole (graphique de 2005). À cette époque, le pic pétrolier était attendu pour l'année 2006, année où le pétrole conventionnel a effectivement atteint son pic. Toutefois, l'essor du pétrole de schiste américain dans les années 2010 a repoussé les perspectives du pic pétrolier mondial vers 2025.
