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Short-Term Multinodal Load Forecasting Using a Modified General Regression Neural Network
(Institute of Electrical and Electronics Engineers (IEEE), 2011-10-01)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, a technique that is precise, reliable, and ...
The ability of a multi-model seasonal forecasting ensemble to forecast the frequency of warm, cold and wet extremes
(Elsevier Science, 2015-09)
Dynamical models are now widely used to provide forecasts of above or below average seasonal mean temperatures and precipitation, with growing interest in their ability to forecast climate extremes on a seasonal time scale. ...
Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting
(Elsevier Science BvAmsterdamHolanda, 2011)
Assessment of seasonal soil moisture forecasts over Southern South America with emphasis on dry and wet events
(American Meteorological Society, 2017-08)
The importance of forecasting extreme wet and dry conditions from weeks to months in advance relies on the need to prevent considerable socioeconomic losses, mainly in regions of large populations and where agriculture is ...
On the logistic modeling and forecasting of evolutionary processes: Application to human population dynamics
(Elsevier Science IncNew YorkEUA, 2010)
Forecasting of hourly PM2.5 in south-west zone in Santiago de Chile
(AAGR Aerosol and Air Quality Research, 2018)
© Taiwan Association for Aerosol Research. We present the results of a neural network model designed for the forecasting of hourly PM2.5 concentrations in Santiago, Chile. The study focuses on the observed values at two ...
Using the Weather Research and Forecasting (WRF) model for precipitation forecasting in an Andean region with complex topography
(MDPI AG, 2018)
The Weather Research and Forecasting (WRF) model has been successfully used in weather prediction, but its ability to simulate precipitation over areas with complex topography is not optimal. Consequently, WRF has problems ...
On the forecasting of the challenging world future scenarios
(Elsevier Science IncNew YorkEUA, 2011)
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 ...
Evaluation of Markov Chain Based Drought Forecasts in an Andean Regulated River Basin Using the Skill Scores RPS and GMSS
(KLUWER ACADEMIC PUBLISHERS, 2018)