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Greek long-term energy consumption prediction using artificial neural networks

Energy (Oxford), 2010-02, Vol.35 (2), p.512-517

Ekonomou, L.

2010

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Comparison of metal-oxide surge arresters circuit models and implementation on high-voltage transmission lines of the Hellenic network

IET generation, transmission & distribution, 2010, Vol.4 (7), p.846-853

2010

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Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

Energy (Oxford), 2008-09, Vol.33 (9), p.1353-1360

2008

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High voltage transmission lines studies with the use of artificial intelligence

Electric power systems research, 2009-12, Vol.79 (12), p.1655-1660

Ekonomou, L.

2009

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Electricity demand load forecasting of the Hellenic power system using an ARMA model

Electric power systems research, 2010-03, Vol.80 (3), p.256-264

2010

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Is copper chelation an effective anti-angiogenic strategy for cancer treatment?

Medical hypotheses, 2013-12, Vol.81 (6), p.1159-1163

2013

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Estimation of wind turbines optimal number and produced power in a wind farm using an artificial neural network model

Simulation modelling practice and theory, 2012-02, Vol.21 (1), p.21-25

2012

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A power system simulation platform for planning and evaluating distributed generation systems based on GIS

Energy systems (Berlin. Periodical), 2013-12, Vol.4 (4), p.379-391

2013

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An open source tool for transmission system analysis and planning

Energy systems (Berlin. Periodical), 2014-12, Vol.5 (4), p.705-717

2014

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Evaluation of the probability of arrester failure in a high-voltage transmission line using a Q learning artificial neural network model

Measurement science & technology, 2011-04, Vol.22 (4), p.045702

2011

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Modeling of a single-phase photovoltaic inverter

Solar energy materials and solar cells, 2007-11, Vol.91 (18), p.1713-1725

2007

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Comparison of metal-oxide surge arresters circuit models and implementation on high-voltage transmission lines of the Hellenic network

IET generation, transmission & distribution, 2010-07, Vol.4 (7), p.846-846

2010

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Assessment of surge arrester failure rate and application studies in Hellenic high voltage transmission lines

Electric power systems research, 2010-02, Vol.80 (2), p.176-183

2010

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Application of Powell’s optimization method to surge arrester circuit models’ parameters

Energy (Oxford), 2010-08, Vol.35 (8), p.3375-3380

2010

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Adaptive load forecasting of the Hellenic electric grid

Journal of Zhejiang University. A. Science, 2008-12, Vol.9 (12), p.1724-1730

2008

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Effective insulator maintenance scheduling using artificial neural networks

IET generation, transmission & distribution, 2010, Vol.4 (4), p.479-484

2010

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Surge arresters’ circuit models review and their application to a Hellenic 150 kV transmission line

Simulation modelling practice and theory, 2010-06, Vol.18 (6), p.836-849

2010

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Optimization of Hellenic overhead high-voltage transmission lines lightning protection

Energy (Oxford), 2009-04, Vol.34 (4), p.502-509

2009

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Application of artificial neural network methods for the lightning performance evaluation of Hellenic high voltage transmission lines

Electric power systems research, 2007, Vol.77 (1), p.55-63

2007

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Artificial neural networks in high voltage transmission line problems

Measurement science & technology, 2007-07, Vol.18 (7), p.2239-2244

2007

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An optimal design method for improving the lightning performance of overhead high voltage transmission lines

Electric power systems research, 2006-04, Vol.76 (6), p.493-499

2006

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Development of an artificial neural network software tool for the assessment of the electromagnetic field radiating by electrostatic discharges

IET science, measurement & technology, 2007-09, Vol.1 (5), p.261-269

2007

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Linguistic Representation of Power System Signals

Electricity Distribution, 2016, p.285-295

2016

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Measurement of the electromagnetic field radiating by commercial ESD generators with the Pellegrini target on insulating material

Measurement : journal of the International Measurement Confederation, 2009-08, Vol.42 (7), p.1073-1081

2009

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Electricity Distribution: Intelligent Solutions for Electricity Transmission and Distribution Networks

1st ed. 2016, 2016

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Greek long-term energy consumption prediction using artificial neural networks

Comparison of metal-oxide surge arresters circuit models and implementation on high-voltage transmission lines of the Hellenic network

Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models

High voltage transmission lines studies with the use of artificial intelligence

Electricity demand load forecasting of the Hellenic power system using an ARMA model

Is copper chelation an effective anti-angiogenic strategy for cancer treatment?

Estimation of wind turbines optimal number and produced power in a wind farm using an artificial neural network model

A power system simulation platform for planning and evaluating distributed generation systems based on GIS

An open source tool for transmission system analysis and planning

Evaluation of the probability of arrester failure in a high-voltage transmission line using a Q learning artificial neural network model

Modeling of a single-phase photovoltaic inverter

Comparison of metal-oxide surge arresters circuit models and implementation on high-voltage transmission lines of the Hellenic network

Assessment of surge arrester failure rate and application studies in Hellenic high voltage transmission lines

Application of Powell’s optimization method to surge arrester circuit models’ parameters

Adaptive load forecasting of the Hellenic electric grid

Effective insulator maintenance scheduling using artificial neural networks

Surge arresters’ circuit models review and their application to a Hellenic 150 kV transmission line

Optimization of Hellenic overhead high-voltage transmission lines lightning protection

Application of artificial neural network methods for the lightning performance evaluation of Hellenic high voltage transmission lines

Artificial neural networks in high voltage transmission line problems

An optimal design method for improving the lightning performance of overhead high voltage transmission lines

Development of an artificial neural network software tool for the assessment of the electromagnetic field radiating by electrostatic discharges

Linguistic Representation of Power System Signals

Measurement of the electromagnetic field radiating by commercial ESD generators with the Pellegrini target on insulating material

Electricity Distribution: Intelligent Solutions for Electricity Transmission and Distribution Networks

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