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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 ...
Wind power forecast using neural networks: Tuning with optimization techniques and error analysis
(2020-03-01)
The increased integration of wind power into the power system implies many challenges to the network operators, mainly due to the hard to predict and variability of wind power generation. Thus, an accurate wind power ...
Predição da velocidade do vento a curto prazo via modelos matemáticos
(Universidade Federal do Rio Grande do NorteBrasilUFRNMeteorologia, 2017-12-01)
This present work aims to predict wind speed hourly averaging from anemometric towers (at a height of 50 meters) located in Belo Jardim/PE and Camocim/CE. For this, the time-series models used are: Holt-Winters (HW), ...
Theory of Virus Public Infection Through The Weiss Approach
(Institute of Electrical and Electronics EngineersPE, 2020)
A theory of virus infection in humans by using the Weiss’s approach is presented. For this end it was associated physical observables such as the distance and wind velocity. The model assumes random quantities from the ...
Deterministic Theory of Aerosol Displacement Before Dehydration as Vehicle of Virus in Outdoor Infections
(Institute of Electrical and Electronics EngineersPE, 2021-10-22)
As it is well-known aerosol is an important vehicle to transport strain of virus and produce an chain of infection among humans. Thus outdoor aerosol in conjunction to the lack of face protection is a first cause of infection ...
Previsão da velocidade do vento utilizando redes neurais artificiais e modelos autorregressivos
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Sistemas de EnergiaUTFPR, 2020-11-26)
The economic and environmental benefits of wind power generation made wind energy one of the most promising sources for electric power generation in Brazil. However, the uncertainty associated with wind data, the source ...
Hybrid methodology for modeling short-term wind power generation using conditional Kernel density estimation and singular spectrum analysis
(Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas., 2017-04-01)
A fundamental part of the probabilistic forecasting of wind energy process is to take into account wind speed forecasts. To achieve accurate probabilistic forecast of wind output, it is developed a hybrid methodology using ...