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A bottom-up bayesian extension for long term electricity consumption forecasting

Energy (Oxford), 2019-01, Vol.167, p.198-210

2019

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A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil

Energy (Oxford), 2018-02, Vol.144, p.1107-1118

2018

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Stochastic Dynamic Programming Applied to Hydrothermal Power Systems Operation Planning Based on the Convex Hull Algorithm

Mathematical Problems in Engineering, 2010-01, Vol.2010 (1), p.1423-1442-082

2010

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Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies

Energy policy, 2014-04, Vol.67, p.4-15

2014

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An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities

Socio-economic planning sciences, 2014-09, Vol.48 (3), p.169-174

2014

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Probabilistic stopping rules for GRASP heuristics and extensions

International transactions in operational research, 2013-05, Vol.20 (3), p.301-323

2013

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Tendencias en la predicción y estimación de los intervalos de confianza usando modelos de redes neuronales aplicados a series temporales

Dyna (Medellín, Colombia), 2006, Vol.73 (149), p.141-147

2006

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Politicas para la integracion del juicio experto y los pronosticos estadisticos en el Marco organizacional

Estudios gerenciales, 2006-04, Vol.22 (99), p.131-150

2006

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Convex combinations of long memory estimates from different sampling rates

Computational statistics, 2006-12, Vol.21 (3-4), p.399-413

2006

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Predicción de series de tiempo con redes cascada-correlación

Ingeniería e investigación, 2010-04, Vol.30 (1), p.157-162

2010

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Time series forecasting using cascade correlation networks

Ingeniería e investigación, 2010-01, Vol.30 (1), p.157-162

2010

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Estimating the cost savings and avoided CO sub(2) emissions in Brazil by implementing energy efficient policies

Energy policy, 2014-04, Vol.67, p.4-4

2014

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Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies : Energy efficiency for a more sustainable world

Energy policy, 2014, Vol.67, p.4-15

2014

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Bottom-up Long-term Forecasting of Brazilian Commercial Class Electricity Consumption: First Results

Procedia computer science, 2015, Vol.55, p.388-394

2015

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Impacts of the Technological Change Introduced by Smart Energy Metering in the Legal Department of an Electricity Utility

Procedia computer science, 2015, Vol.55, p.278-287

2015

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Estimating the cost savings and avoided CO^sub 2^ emissions in Brazil by implementing energy efficient policies

Energy policy, 2014-04, Vol.67, p.4-15

2014

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Forecasting natural inflow energy series with multi-channel singular spectrum analysis and bootstrap techniques

International journal of energy and statistics, 2015-03, Vol.3 (1), p.1550005

2015

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Forecast of Long-term Electricity Consumption of the Industrial Sub-sector of Pulp and Paper in Brazil Using a Bottom-up Approach

Procedia computer science, 2015, Vol.55, p.514-522

2015

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Long-term scenarios development for the electricity tariffs in Brazil

2016 13th International Conference on the European Energy Market (EEM), 2016, p.1-6

2016

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MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA

Ingeniare. Revista chilena de ingeniería, 2008-12, Vol.16 (3), p.394-403

2008

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MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA ELECTRICITY SPOT PRICE MODELLING IN BRASIL USING AN AUTOREGRESSIVE NEURAL NETWORK

Ingeniare: Revista Chilena de Ingeniería, 2008-12, Vol.16 (3), p.394-403

2008

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MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA

Ingeniare. Revista chilena de ingeniería, 2008-12, Vol.16 (3)

2008

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Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations

Learning and Intelligent Optimization, p.146-160

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Identificação de estruturas não-lineares de séries temporais através de regressão linear local e modelos aditivos

Pesquisa Operacional, 2008-04, Vol.28 (1), p.45-57

2008

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MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA/ELECTRICITY SPOT PRICE MODELLING IN BRASIL USING AN AUTOREGRESSIVE NEURAL NETWORK

Ingeniare : Revista Chilena de Ingenieria, 2008-10, Vol.16 (3), p.394

2008

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A bottom-up bayesian extension for long term electricity consumption forecasting

A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil

Stochastic Dynamic Programming Applied to Hydrothermal Power Systems Operation Planning Based on the Convex Hull Algorithm

Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies

An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities

Probabilistic stopping rules for GRASP heuristics and extensions

Tendencias en la predicción y estimación de los intervalos de confianza usando modelos de redes neuronales aplicados a series temporales

Politicas para la integracion del juicio experto y los pronosticos estadisticos en el Marco organizacional

Convex combinations of long memory estimates from different sampling rates

Predicción de series de tiempo con redes cascada-correlación

Time series forecasting using cascade correlation networks

Estimating the cost savings and avoided CO sub(2) emissions in Brazil by implementing energy efficient policies

Estimating the cost savings and avoided CO2 emissions in Brazil by implementing energy efficient policies : Energy efficiency for a more sustainable world

Bottom-up Long-term Forecasting of Brazilian Commercial Class Electricity Consumption: First Results

Impacts of the Technological Change Introduced by Smart Energy Metering in the Legal Department of an Electricity Utility

Estimating the cost savings and avoided CO^sub 2^ emissions in Brazil by implementing energy efficient policies

Forecasting natural inflow energy series with multi-channel singular spectrum analysis and bootstrap techniques

Forecast of Long-term Electricity Consumption of the Industrial Sub-sector of Pulp and Paper in Brazil Using a Bottom-up Approach

Long-term scenarios development for the electricity tariffs in Brazil

MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA

MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA ELECTRICITY SPOT PRICE MODELLING IN BRASIL USING AN AUTOREGRESSIVE NEURAL NETWORK

MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA

Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations

Identificação de estruturas não-lineares de séries temporais através de regressão linear local e modelos aditivos

MODELADO DEL PRECIO SPOT DE LA ELECTRICIDAD EN BRASIL USANDO UNA RED NEURONAL AUTORREGRESIVA/ELECTRICITY SPOT PRICE MODELLING IN BRASIL USING AN AUTOREGRESSIVE NEURAL NETWORK

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