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Forecasting Brazil's electricity consumption with Pegels Exponential Smoothing Techniques
2016 Edition, Volume 14, March 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

After the 2001 energy crises in Brazil, the energy sector priority has been the planning and consequently the forecast middle and long term energy consumption. The Energy Research Company (EPE for short) is in charge of publishing two official reports: "The Ten Year Energy...

Hybrid Approach combining SARIMA and Neural Networks for multi-step ahead wind speed forecasting in Brazil
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposes a hybrid approach based on SARIMA and Neural Networks for multi-step ahead wind speed forecasting using explanatory variables. In the proposed model, explanatory variables are first predicted, and wind speed forecasting is performed taking into account these...

Hybrid Approach Combining SARIMA and Neural Networks for Multi-Step Ahead Wind Speed Forecasting in Brazil
2018 Edition, Volume 6, January 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposes a hybrid approach based on seasonal autoregressive integrated moving average (SARIMA) and neural networks for multi-step ahead wind speed forecasting using explanatory variables. In the proposed model, explanatory variables are first predicted, and wind speed...

Risk Analysis and Quantitative Methods for Mobile Broadband Forecasting in Brazil
2016 Edition, Volume 14, November 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This study proposes the implementation of risk management as recommended in ISO 31000, to increase the efficiency and effectiveness in achieving one of the strategic objectives of the National Telecommunications Agency, namely: Expand the access and use of services, with quality and suitable...

Long-term forecasting of wind speed in Brazil using GAS modelling
2018 Edition, October 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

It is well known that the world is experiencing a rapid growth in the implementation of renewable energy sources (RES). In particular, the wind power generation is one that is growing very fast. This is a consequence of the reduction of the use of fossil fuels to generate electricity which...

Forecasting Internet demand using public data: a case study in Brazil
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In Brazil, the government has historically given low attention to telecommunication infrastructure planning to predict, for instance, the Internet bandwidth in the short and medium-term, since this process can be slow and costly. Notably, smart city applications are impaired by this policy...

Smart grid and the prospects of electricity demand forecast in Brazilian distribution system
2014 Edition, September 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The power system is changing. Classic methodologies applied for planning the distribution system should be adapted in an environment of Smart Grids. In this sense, an accurate forecast of energy demand will be essential to the utilities in this new grid model, being prepared for insertion of...

Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study
2008 Edition, September 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a Brazilian case study of forecasting a wind speed time series with reservoir computing (RC). RC is a research area, in which an untrained recurrent network of nodes is used for the recognition of temporal patters. In RC only the weights of the connections...

Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil
2015 Edition, November 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Deep Learning is one of the latest approaches in the field of artificial neural networks. Since they were first proposed in mid-2006, Deep Learning models have obtained state-of-art results in some problems with classification and pattern recognition. However, such models have been little...

Forecasting models of wind power in Northeastern of Brazil
2013 Edition, August 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Wind Power forecasting is extremely important to assist in planning and programming studies for the operation of wind power generation. Several studies have shown that the Brazilian wind potential can contribute significantly to the electricity supply, especially in the...

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