UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 165

Sortiert nach

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

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

2019

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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)

2010

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Probabilistic stopping rules for GRASP heuristics and extensions

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

2013

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Convex combinations of long memory estimates from different sampling rates

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

2006

Volltextzugriff (PDF)

Predicción de series de tiempo con redes cascada-correlación

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

2010

Volltextzugriff (PDF)

Time series forecasting using cascade correlation networks

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

2010

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Long Term Electricity Forecast: A Systematic Review

Procedia computer science, 2015, Vol.55, p.549-558

2015

Volltextzugriff (PDF)

A comparison of methods for bootstrapping in the local level model

Journal of forecasting, 2002-01, Vol.21 (1), p.27-38

2002

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

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

2015

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations

Learning and Intelligent Optimization, p.146-160

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

1 – 25 von 165

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(146)
Mit Volltextzugriff
(155)

Publikationsform

Sprache

1 weiteren anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Science & Technology
(105)
Life Sciences & Biomedicine
(47)
Technology
(38)
Physical Sciences
(34)
Humans
(21)
Engineering
(18)
Male
(18)
Female
(15)
Physics
(15)
Brazil
(14)
Social Sciences
(14)
Engineering, Electrical & Electronic
(13)
Computer Science
(12)
Adult
(11)
Physics, Multidisciplinary
(11)
Animals
(10)
Exact Sciences And Technology
(10)
Management
(10)
Energy & Fuels
(9)
Forecasting
(9)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

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

Long Term Electricity Forecast: A Systematic Review

A comparison of methods for bootstrapping in the local level model

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

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

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

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

Suchergebnisse filtern