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Papers by Luis Prieto

Research paper thumbnail of Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

Applied Soft Computing, 2022

Research paper thumbnail of Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction

Research paper thumbnail of A review of recent evolutionary computation-based techniques in wind turbines layout optimization problems

Open Computer Science, 2011

This paper presents a mini-review of the main works recently published about optimal wind turbine... more This paper presents a mini-review of the main works recently published about optimal wind turbines layout in wind farms. Specifically, we focus on discussing articles where evolutionary computation techniques have been applied, since this computational framework has obtained very good results in different formulations of the problem. A summary of the main concepts needed to face the problem are also included in the article, such as a basic wake model and several cost models and objective functions previously used in the literature. This review includes works published in the most significant journals and international conferences, and it gives a brief remark of the optimization models proposed and the implemented algorithms, so it can be useful for readers who want to be quickly introduced in this research area.

Research paper thumbnail of Extraction of synoptic pressure patterns for long-term wind speed estimation in wind farms using evolutionary computing

Research paper thumbnail of Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization – Extreme learning machine approach

Energy Conversion and Management, 2014

Research paper thumbnail of Local models-based regression trees for very short-term wind speed prediction

Research paper thumbnail of Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm

Research paper thumbnail of Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

Neural Computing and Applications, 2012

Research paper thumbnail of A long-term perspective of wind power output variability

International Journal of Climatology, 2014

Research paper thumbnail of Short-Term Wind Speed Prediction by Hybridizing Global and Mesoscale Forecasting Models with Artificial Neural Networks

2008 Eighth International Conference on Hybrid Intelligent Systems, 2008

... A. Portilla-Figueras † , L. Prieto ∗ , D. Paredes ‡ and F. Correoso ∗ ... REFERENCES [1] MCMa... more ... A. Portilla-Figueras † , L. Prieto ∗ , D. Paredes ‡ and F. Correoso ∗ ... REFERENCES [1] MCMabel and E. Fernández, “Analysis of wind power generation and prediction using ANN: A case study,” Renewable Energy, vol. 33, no. 5, pp. 986-992, 2008. ...

Research paper thumbnail of Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns

Research paper thumbnail of A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction

Renewable Energy, 2015

ABSTRACT This paper introduces a new hybrid bio-inspired solver which combines elements from the ... more ABSTRACT This paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel bio-inspired optimizer is utilized in the context of short-term wind speed prediction as a means to obtain the best set of meteorological variables to be input to a neural Extreme Learning Machine (ELM) network. The paper elaborates on the main characteristics of the proposed scheme and discusses its performance when predicting the wind speed based on the measures of two meteorological towers located in USA and Spain. The good results obtained in these experiments when compared to naïve versions of the CRO and HS algorithms are promising and pave the way towards the utilization of the derived hybrid solver in other optimization problems arising from diverse disciplines.

Research paper thumbnail of Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks

Research paper thumbnail of The 2001 Mesoscale Convective Systems over Iberia and the Balearic Islands

Meteorology and Atmospheric Physics, 2005

Research paper thumbnail of Heuristic correction of wind speed mesoscale models simulations for wind farms prospecting and micrositing

Journal of Wind Engineering and Industrial Aerodynamics, 2014

Research paper thumbnail of Very fast training neural-computation techniques for real measure-correlate-predict wind operations in wind farms

Journal of Wind Engineering and Industrial Aerodynamics, 2013

Research paper thumbnail of Mortality impact of extreme winter temperatures

International Journal of Biometeorology, 2005

Research paper thumbnail of Evolutionary computation approaches for real offshore wind farm layout: A case study in northern Europe

Expert Systems with Applications, 2013

ABSTRACT This paper presents the layout optimization of a real offshore wind farm in northern Eur... more ABSTRACT This paper presents the layout optimization of a real offshore wind farm in northern Europe, using evolutionary computation techniques. Different strategies for the wind farm design are tested, such as regular turbines layout or free turbines disposition with fixed number of turbines. Also, different layout quality models have been applied, in order to obtain solutions with different characteristics of high energy production and low interlink cost. In all the cases, evolutionary algorithms are developed and detailed in the paper. The experiments carried out in the real problem show that the free design with fixed number of turbines is more appropriate and obtains better quality layouts than the regular design.

Research paper thumbnail of NAO influence on extreme winter temperatures in Madrid (Spain)

Annales Geophysicae, 2002

Research paper thumbnail of Synoptic conditions leading to extremely high temperatures in Madrid

Annales Geophysicae, 2002

Research paper thumbnail of Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

Applied Soft Computing, 2022

Research paper thumbnail of Hyperbolic tangent basis function neural networks training by hybrid evolutionary programming for accurate short-term wind speed prediction

Research paper thumbnail of A review of recent evolutionary computation-based techniques in wind turbines layout optimization problems

Open Computer Science, 2011

This paper presents a mini-review of the main works recently published about optimal wind turbine... more This paper presents a mini-review of the main works recently published about optimal wind turbines layout in wind farms. Specifically, we focus on discussing articles where evolutionary computation techniques have been applied, since this computational framework has obtained very good results in different formulations of the problem. A summary of the main concepts needed to face the problem are also included in the article, such as a basic wake model and several cost models and objective functions previously used in the literature. This review includes works published in the most significant journals and international conferences, and it gives a brief remark of the optimization models proposed and the implemented algorithms, so it can be useful for readers who want to be quickly introduced in this research area.

Research paper thumbnail of Extraction of synoptic pressure patterns for long-term wind speed estimation in wind farms using evolutionary computing

Research paper thumbnail of Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization – Extreme learning machine approach

Energy Conversion and Management, 2014

Research paper thumbnail of Local models-based regression trees for very short-term wind speed prediction

Research paper thumbnail of Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm

Research paper thumbnail of Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

Neural Computing and Applications, 2012

Research paper thumbnail of A long-term perspective of wind power output variability

International Journal of Climatology, 2014

Research paper thumbnail of Short-Term Wind Speed Prediction by Hybridizing Global and Mesoscale Forecasting Models with Artificial Neural Networks

2008 Eighth International Conference on Hybrid Intelligent Systems, 2008

... A. Portilla-Figueras † , L. Prieto ∗ , D. Paredes ‡ and F. Correoso ∗ ... REFERENCES [1] MCMa... more ... A. Portilla-Figueras † , L. Prieto ∗ , D. Paredes ‡ and F. Correoso ∗ ... REFERENCES [1] MCMabel and E. Fernández, “Analysis of wind power generation and prediction using ANN: A case study,” Renewable Energy, vol. 33, no. 5, pp. 986-992, 2008. ...

Research paper thumbnail of Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns

Research paper thumbnail of A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction

Renewable Energy, 2015

ABSTRACT This paper introduces a new hybrid bio-inspired solver which combines elements from the ... more ABSTRACT This paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel bio-inspired optimizer is utilized in the context of short-term wind speed prediction as a means to obtain the best set of meteorological variables to be input to a neural Extreme Learning Machine (ELM) network. The paper elaborates on the main characteristics of the proposed scheme and discusses its performance when predicting the wind speed based on the measures of two meteorological towers located in USA and Spain. The good results obtained in these experiments when compared to naïve versions of the CRO and HS algorithms are promising and pave the way towards the utilization of the derived hybrid solver in other optimization problems arising from diverse disciplines.

Research paper thumbnail of Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks

Research paper thumbnail of The 2001 Mesoscale Convective Systems over Iberia and the Balearic Islands

Meteorology and Atmospheric Physics, 2005

Research paper thumbnail of Heuristic correction of wind speed mesoscale models simulations for wind farms prospecting and micrositing

Journal of Wind Engineering and Industrial Aerodynamics, 2014

Research paper thumbnail of Very fast training neural-computation techniques for real measure-correlate-predict wind operations in wind farms

Journal of Wind Engineering and Industrial Aerodynamics, 2013

Research paper thumbnail of Mortality impact of extreme winter temperatures

International Journal of Biometeorology, 2005

Research paper thumbnail of Evolutionary computation approaches for real offshore wind farm layout: A case study in northern Europe

Expert Systems with Applications, 2013

ABSTRACT This paper presents the layout optimization of a real offshore wind farm in northern Eur... more ABSTRACT This paper presents the layout optimization of a real offshore wind farm in northern Europe, using evolutionary computation techniques. Different strategies for the wind farm design are tested, such as regular turbines layout or free turbines disposition with fixed number of turbines. Also, different layout quality models have been applied, in order to obtain solutions with different characteristics of high energy production and low interlink cost. In all the cases, evolutionary algorithms are developed and detailed in the paper. The experiments carried out in the real problem show that the free design with fixed number of turbines is more appropriate and obtains better quality layouts than the regular design.

Research paper thumbnail of NAO influence on extreme winter temperatures in Madrid (Spain)

Annales Geophysicae, 2002

Research paper thumbnail of Synoptic conditions leading to extremely high temperatures in Madrid

Annales Geophysicae, 2002

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