Buscar
Mostrando ítems 1-10 de 925
Consumer behavior after the Brazilian power rationing in 2001
(2006-12-01)
In June 2001, after a dry period, the level of the water reservoirs in Brazil was below their operational levels. This situation, combined with other historical factors, led the country into a period of power rationing. ...
Physics‐based forecasts of equatorial radio scintillation for the Communication and Navigation Outage Forecasting System (C/NOFS)
(American Geophysical Union, 2005-12-28)
The plans for producing long‐term (6–24 hour) forecasts of equatorial plasma structure and radio scintillation for the Communication and Navigation Outage Forecasting System (C/NOFS) program are described. We discuss the ...
Electric Power Forecasting Methodologies of Some South American Countries: A Comparative Analysis
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
In this paper, a comparative analysis of the long-term electric power forecasting methodologies used in some South American countries, is presented. The purpose of this study is to compare and observe if such methodologies ...
Consumer behavior after the Brazilian power rationing in 2001
(2006-12-01)
In June 2001, after a dry period, the level of the water reservoirs in Brazil was below their operational levels. This situation, combined with other historical factors, led the country into a period of power rationing. ...
On predicting wind power series by using Bayesian Enhanced modified based-neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this paper, wind power series prediction using BEA modified (BEAmod.) neural networks-based approach is presented. Wind power forecasting is a complex, multidimensional, and highly non-linear system. Neural network is ...
Predicting long-term wind speed in wind farms of northeast Brazil: A comparative analysis through machine learning models
(2020-11-01)
The rapid growth of wind generation in northeast Brazil has led to multiple benefits to many different stakeholders of energy industry, especially because the wind is a renewable resource - an abundant and ubiquitous power ...
An Improved Deep Learning Model for Electricity Price Forecasting
Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ...
Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2005-04-01)
Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic ...
SERFIT - AN ALGORITHM TO FORECAST MINERAL TRENDS
(Pergamon-elsevier Science LtdOxfordInglaterra, 1995)