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carolina senabre
carolina senabre
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Title
Cited by
Cited by
Year
Classification, filtering, and identification of electrical customer load patterns through the use of self-organizing maps
SV Verdú, MO Garcia, C Senabre, AG Marin, FJG Franco
IEEE Transactions on Power Systems 21 (4), 1672-1682, 2006
3332006
Methods for customer and demand response policies selection in new electricity markets
S Valero, M Ortiz, C Senabre, C Alvarez, FJG Franco, A Gabaldon
IET generation, transmission & distribution 1 (1), 104-110, 2007
2122007
Application of SOM neural networks to short-term load forecasting: The Spanish electricity market case study
M López, S Valero, C Senabre, J Aparicio, A Gabaldon
Electric Power Systems Research 91, 18-27, 2012
1322012
Classification of special days in short-term load forecasting: the Spanish case study
M López, C Sans, S Valero, C Senabre
Energies 12 (7), 1253, 2019
352019
New online load forecasting system for the Spanish Transport System Operator
M López, S Valero, A Rodriguez, I Veiras, C Senabre
Electric Power Systems Research 154, 401-412, 2018
342018
Development of a methodology for clustering electricity-price series to improve customer response initiatives
A Gabaldon, A Guillamon, MC Ruiz, S Valero, C Alvarez, M Ortiz, ...
IET generation, transmission & distribution 4 (6), 706-715, 2010
312010
Empirical comparison of neural network and auto-regressive models in short-term load forecasting
M López, C Sans, S Valero, C Senabre
Energies 11 (8), 2080, 2018
302018
Classification, filtering, and identification of electrical customer load patterns through the use of self-organizing maps
S Valero Verdu, M Ortiz García, C Senabre Blanes, A Gabaldón Marín, ...
IEEE Power & Energy Society, 2006
302006
Comparative analysis of self organizing maps vs. multilayer perceptron neural networks for short-term load forecasting
S Valero, J Aparicio, C Senabre, M Ortiz, J Sancho, A Gabaldon
2010 Modern Electric Power Systems, 1-5, 2010
252010
Short-term predictability of load series: Characterization of load data bases
ML García, S Valero, C Senabre, AG Marín
IEEE Transactions on Power Systems 28 (3), 2466-2474, 2013
212013
Comparative analysis of vehicle brake data in the ministry of transport test on the roller brake tester and on flat ground
C Senabre, E Velasco, S Valero
International journal of automotive technology 13, 735-742, 2012
152012
Standardization of short-term load forecasting models
M López, S Valero, C Senabre, J Aparicio, A Gabaldon
2012 9th International Conference on the European Energy Market, 1-7, 2012
132012
Analysis of the influence of meteorological variables on real-time short-term load forecasting in Balearic Islands
M López, S Valero, C Senabre, A Gabaldón
2017 11th IEEE International Conference on Compatibility, Power Electronics …, 2017
122017
Aplicación de un modelo de red neuronal no supervisado a la clasificación de consumidores eléctricos
SV Verdú, CS Blanes
Editorial Club Universitario, 2013
102013
Analysis of different testing parameters in self-organizing maps for short-term load demand forecasting in Spain
S Valero, J Aparicio, C Senabre, M Ortiz, J Sancho, A Gabaldon
2010 Modern Electric Power Systems, 1-6, 2010
102010
Using a self organizing map neural network for short-term load forecasting, analysis of different input data patterns
C Senabre, S Valero, J Aparicio
Distributed Computing and Artificial Intelligence: 7th International …, 2010
102010
Development of a methodology for improving the effectiveness of customer response policies through electricity-price patterns
A Gabaldon, A Guillamon, M del Carmen Ruiz, S Valero, M Ortiz, ...
2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery …, 2008
82008
Use of available daylight to improve short-term load forecasting accuracy
M López, S Valero, C Sans, C Senabre
Energies 14 (1), 95, 2020
72020
Analysis of a ground-mounted double axis photovoltaic installation in Spain
D Lopez, R Munoz, S Valero, C Senabre
International Conference on Renewable Energies and Power Quality ICREPQ 11, 2011
72011
Automatic selection of temperature variables for short-term load forecasting
A Candela Esclapez, M López García, S Valero Verdú, C Senabre Blanes
Sustainability 14 (20), 13339, 2022
62022
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