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Increasing distributed generation hosting capacity in distribution networks: A CO2emission analysis
(2020-10-26)
This work aims at proposing a strategy based on an environmental and technical perspective to assess the amount of distributed generation (DG) that can be deployed into an electric distribution network (EDN). The presented ...
Análise e previsão de demanda para vendas em uma indústria da saúde
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2023-01-31)
Anticipating demand is a technique that underlies the strategic planning of a company, because it enables the optimization of inventories and consequently becomes a differential for each enterprise due to the agility of ...
Increasing Distributed Generation Hosting Capacity in Distribution Networks: A CO2 Emission Analysis
(Ieee, 2020-01-01)
This work aims at proposing a strategy based on an environmental and technical perspective to assess the amount of distributed generation (DG) that can be deployed into an electric distribution network (EDN). The presented ...
Statistical analysis of models of the demand forecast-case study on sale cardboard for recycling
(2009-01-01)
The activity of cardboard recycling when correctly planned and organized, offers great possibilities of economic profits for the enterprising agent, beyond social and environmental benefits, as the job creation and economy ...
Risk averse retail pricing with robust demand forecasting
(ELSEVIER SCIENCE BV, 2012)
Good demand estimates are the key to effective pricing decision-making. However, they are subject to a high degree of uncertainty due to various factors that are unpredictable or difficult to model, thus making pricing ...
SERFIT - AN ALGORITHM TO FORECAST MINERAL TRENDS
(Pergamon-elsevier Science LtdOxfordInglaterra, 1995)
Comparison of statistical forecasting techniques for Colombian coffee demand in South Korea
(Journal of Physics: Conference SeriesReino Unido, 2019-03-06)
This article shows a comparison of various methods as a statistical technique for making applied forecasts of Colombian coffee demand in South Korea. The aim is to model the demand behavior in the most adjusted and efficient ...