Luis Alfredo Fernandez-Jimenez

Luis Alfredo Fernandez-Jimenez
Universidad de La Rioja (Spain) | UNIRIOJA · Department of Electrical Engineering (DIE)

PhD

About

51
Publications
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1,049
Citations

Publications

Publications (51)
Article
Full-text available
Power plants based on renewable sources offer environmental, technical and economic advantages. Of particular importance is the reduction in greenhouse gas emissions compared to conventional power plants. Despite the advantages, people are often opposed to the construction of these facilities due to their high visual impact, particularly if they ar...
Article
Demand Response (DR) is an opportunity and a concern for markets as well as power system flexibility. The deployment of DR depends on both knowledge on its performance and how to measure it effectively to provide adequate economic feedback. DR verification requires a baseline reference. This paper introduces a new baseline that provides an evaluati...
Article
Full-text available
This article presents an original predictive strategy, based on a new mid-term forecasting model, to be used for trading physical electricity futures. The forecasting model is used to predict the average spot price, which is used to estimate the Risk Premium corresponding to electricity futures trade operations with a physical delivery. A feed-forw...
Article
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This paper presents an original probabilistic photovoltaic (PV) power forecasting model for the day-ahead hourly generation in a PV plant. The probabilistic forecasting model is based on 12 deterministic models developed with different techniques. An optimization process, ruled by a genetic algorithm, chooses the forecasts of the deterministic mode...
Article
Full-text available
This paper presents an original trading strategy for electricity buyers in futures markets. The strategy applies a medium-term electricity price forecasting model to predict the monthly average spot price which is used to evaluate the Risk Premium for a physical delivery under a monthly electricity futures contract. The proposed trading strategy ai...
Article
Full-text available
This paper presents a new probabilistic forecasting model of the hourly mean power production in a Photovoltaic (PV) plant. It uses the minimal information and it can provide probabilistic forecasts in the form of quantiles for the desired horizon, which ranges from the next hours to any day in the future. The proposed model only needs a time serie...
Article
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The development of Short-Term Forecasting Techniques has a great importance for power system scheduling and managing. Therefore, many recent research papers have dealt with the proposal of new forecasting models searching for higher efficiency and accuracy. Several kinds of artificial intelligence (AI) techniques have provided good performance at p...
Article
This article presents original Probabilistic Price Forecasting Models, for day-ahead hourly price forecasts in electricity markets, based on a Nadaraya–Watson Kernel Density Estimator approach. A Gaussian Kernel Density Estimator function is used for each input variable, which allows to calculate the parameters of the probability density function (...
Article
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This article presents original probabilistic price forecasting meta-models (PPFMCP models), by aggregation of competitive predictors, for day-ahead hourly probabilistic price forecasting. The best twenty predictors of the EEM2016 EPF competition are used to create ensembles of hourly spot price forecasts. For each hour, the parameter values of the...
Article
Traditionally, the accuracy of solar power forecasts has been measured in terms of classic metrics, such as root mean square error (RMSE) or mean absolute error (MAE), and it is widely accepted that the smaller the error, the greater the economic benefits. Nevertheless, this is not as straightforward as it may seem, because market conditions must b...
Article
Full-text available
The construction of new high voltage overhead power lines (HVOPLs) has become a controversial issue for electricity companies due to social opposition. Citizens are concerned about how these power lines may have an impact on their lives, basically caused by their effects on health and safety. Visual impact is one of the most easily perceived. Altho...
Conference Paper
Solar power forecasts are gaining continuous importance as the penetration of solar energy into the grid rises. The natural variability of the solar resource, joined to the difficulties of cloud movement modeling, endow solar power forecasts with a certain level of uncertainty. Important efforts have been carried out in the field to reduce as much...
Article
This article presents a method for optimising the daily operation (minimising the total operating cost) of a hybrid photovoltaic-wind-diesel-battery system using model predictive control. The model uses actual weather forecasts of hourly values of wind speed, irradiation, temperature and load. Five control variables are optimised, and thus their op...
Article
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This paper presents novel intraday session models for price forecasts (ISMPF models) for hourly price forecasting in the six intraday sessions of the Iberian electricity market (MIBEL) and the analysis of mean absolute percentage errors (MAPEs) obtained with suitable combinations of their input variables in order to find the best ISMPF models. Comp...
Article
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This paper presents the analysis of the importance of a set of explanatory (input) variables for the day-ahead price forecast in the Iberian Electricity Market (MIBEL). The available input variables include extensive hourly time series records of weather forecasts, previous prices, and regional aggregation of power generations and power demands. Th...
Article
Despite the advantages that power plants based on renewable energies offer, there are some restrictions to the social acceptance of these facilities. One of these restrictions is the visual impact that large power plants may generate on people. This paper presents a new methodology for ranking the feasible places in a zone for the construction of n...
Article
Full-text available
This paper presents a comparative study of the electricity consumption (EC) in an urban low-voltage substation before and during the economic crisis (2008–2013). This low-voltage substation supplies electric power to near 400 users. The EC was measured for an 11-year period (2002–2012) with a sampling time of 1 minute. The study described in the pa...
Article
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This paper proposes a new model for short-term forecasting of electric energy production in a photovoltaic (PV) plant. The model is called HIstorical SImilar MIning (HISIMI) model; its final structure is optimized by using a genetic algorithm, based on data mining techniques applied to historical cases composed by past forecasted values of weather...
Article
This paper presents an original short-term forecasting model for hourly average electric power production of small-hydro power plants (SHPPs). The model consists of three modules: the first one gives an estimation of the “daily average” power production; the second one provides the final forecast of the hourly average power production taking into a...
Article
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We present and compare two short-term statistical forecasting models for hourly average electric power production forecasts of photovoltaic (PV) plants: the analytical PV power forecasting model (APVF) and the multiplayer perceptron PV forecasting model (MPVF). Both models use forecasts from numerical weather prediction (NWP) tools at the location...
Article
This paper presents a new statistical short-term forecasting system for a grid-connected photovoltaic (PV) plant. The proposed system comprises three modules composed of two numerical weather prediction models and an artificial neural network based model. The first two modules are used to forecast weather variables used by the third module, which h...
Article
This paper presents an original forecasting methodology for achieving the spatiotemporal future long-term expansion of small power photovoltaic (PV) systems in a region, taking into account the population density, ground usage and the type of small PV power application adopted. This methodology comprises three stages: a first stage based on a suita...
Article
This paper presents planning models for hybrid distributed generation systems, as well as the results corresponding to a distribution system planning problem obtained using a new computational tool based on a Geographic Information System, GIS. This computational tool is a powerful instrument for analyzing energy resources and energy conversion tec...
Conference Paper
This paper presents a new statistical short-term wind power forecasting model based on wavelet decomposition and neuro-fuzzy systems optimized with a genetic algorithm. The forecasted variable is the mean electric power production in a wind farm corresponding to half hour intervals. The forecasting horizons range from 0.5 to 4 hours. The optimizati...
Article
This paper presents a comparison of two new advanced statistical short-term wind-power forecasting systems developed by two independent research teams. The input variables used in both systems were the same: forecasted meteorological variable values obtained from a numerical weather prediction model; and electric power-generation registers from the...
Article
The important penetration of wind energy into the electric networks over the last years has propelled the development of wind power forecasting tools. The intermittent behaviour of wind and the necessity of supplying the electric demand require knowing in advance the electric power generated by wind farms. This paper describes a new wind power fore...
Article
The integration in electric power networks of new renewable energy facilities is the final result of a complex planning process. One of the important objectives of this process is the selection of suitable geographical locations where such facilities can be built. This selection procedure can be a difficult task because of the initially opposing po...
Conference Paper
The high penetration of wind power in electric power systems has become a relatively important matter that can affect daily power systems operation. The intermittent nature of wind makes it difficult to forecast electric power generated in wind farms over the following hours, and this may make it necessary to increase the power plant spinning reser...
Article
Full-text available
The objective of this paper is to show the capability of the Self-Organizing Maps (SOMs) to organize, to filter, to classify and to extract patterns from distributor, commercializer, aggregator or customer electrical demand databases -objective known as data mining-. This approach basically uses -to reach the above mentioned objectives-the historic...
Conference Paper
This paper presents a methodology to evaluate and analyze the beneficial effects in electric power distribution networks deriving from the implementation of different energy efficiency DSM programs (Demand Side Management strategies corresponding to the use of the best end-use appliances from the best technological energy efficiency standpoint). Th...
Article
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La integración de la energía producida en los parques eólicos en los sistemas eléctricos (el 9% de la energía eléctrica consumida en España en el año 2006 fue de origen eólico) requiere disponer de eficaces herramientas de predicción, a corto plazo, de la producción eléctrica en los mismos. Estas herramientas son necesarias tanto para el Operador d...
Article
This paper presents a new multicriteria decision aid system (DAS) to obtain acceptable power line paths integrating the diverse socioeconomic interests of the different groups involved in the planning process, such as utilities, environmental agents, or local and regional authorities. The DAS is based on the intensive use of geographic information...
Conference Paper
This paper presents planning models for hydraulic energy systems, as well as the results obtained in the study of their use in electric power production by means of a new computational tool based on a Geographic Information System, GIS. This tool enables good regional planning of energy resources, technologies and energy infrastructures. In this pa...
Article
This paper presents the structure of a negotiation aid system (NAS) to select the best locations for new DG facilities, using sophisticated spatial techniques [based on geographical information systems (GISs)] and decision aid methodologies for negotiation, based on consensus among groups that may have conflicting interests. This system helps to ov...
Article
Full-text available
This paper presents a new methodology for automated route selection for the construction of new power lines, based on geographic information systems (GIS). It uses a dynamic programming model for route optimization. Environmental restrictions are taken into account together with all of the operating, maintenance, and equipment installation costs, i...
Article
Distributed power generation offers a solution to the limitations in the capacity of distributed systems and, at the same time, improves the reliability of the overall power system by increasing its generation capacity reserves. The planning process to integrate dispersed generation in power networks must take into account multiple factors such as...
Article
The integration of wind energy conversion systems into electric power networks has become an important problem in the integral forecast of short-term demand. Due to the intermittent nature of wind, it is difficult to ensure the power generated by wind farms a few minutes ahead. In this article a new model based on Fourier decomposition and fuzzy in...
Article
The integration of wind energy conversion systems in the electric power networks has become an important problem in their daily operation. The intermittent nature of wind makes difficult to guarantee the electric power generated in wind farms for the next hours. In this paper a new model based on clustering and data regression is used for the short...
Conference Paper
This paper presents a simple modelling of the power distribution systems and fundamental variables for representing load management strategies in order to simulate effects of such strategies in the electricity distribution networks operation. It has been tested by extensive computer experiments with data from a Spanish electric utility. The compute...
Conference Paper
This paper presents the methodology developed within a main research project (supported with funds of the Spanish Government and the European Union) in order to obtain maps of water resources with geographic high resolution, in the region of La Rioja, Spain, and its utilisation (as renewable source) for electric energy generation from minihydraulic...
Conference Paper
Distributed generation (DG) facilities require, like other energy projects, a sitting review process to acquire the permits and approval needs for construction and operation. In this process, different groups and individuals with different roles, interests and priorities are involved. This paper presents a spatial decision support system (SDSS) tha...
Article
Full-text available
Resumen. El incremento de precios de los combustibles convencionales, las amenazas derivadas del cambio climático, y las políticas energéticas impulsadas en los países desarrollados, han propiciado un fuerte incremento en la potencia instalada en plantas generadoras de energía eléctrica basadas en recursos renovables. Las instalaciones basadas en e...
Article
Resumen. Las instalaciones generadoras de energía eléctrica basadas en recursos renovables han adquirido un papel protagonista en el campo energético en los últimos años, captando tanto la atención de las autoridades como de la sociedad en general. El viento representa actualmente la fuente renovable más utilizada, con una potencia mundial instalad...

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