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Silvia Jiménez-Fernández

Silvia Jiménez-Fernández
Universidad of Alcalá · Department of Signal Theory and Communications

Telecommunication Engineer, PhD

About

62
Publications
10,195
Reads
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1,253
Citations
Additional affiliations
September 2004 - October 2015
Universidad of Alcalá
Position
  • Professor

Publications

Publications (62)
Article
In this paper, the performance of a multi-method ensemble for optimization in a turbine layout problem for wind farms is discussed. Specifically, the Coral Reefs Optimization algorithm with Substrate Layer (CRO-SL) is evaluated. The CRO-SL is an evolutionary-type meta-heuristic, able to combine different search procedures or methods within a single...
Article
This paper proposes a robust non-linear generalized path-loss propagation model, the Extended Weighted ABG (EWABG), which efficiently allows generating a path-loss propagation model by combining several available path-loss datasets (from measurements campaigns) and other previously proposed state-of-the-art 5G path-loss propagation models. The EWAB...
Article
In this paper, we use an evolutionary swarm intelligence approach to build an automatic electric dispatch controller for an offshore wind power plant (WPP). The optimal power flow (OPF) problem for this WPP is solved by the Canonical Differential Evolutionary Particle Swarm Optimization algorithm (C-DEEPSO). In this paper, C-DEEPSO works as a contr...
Article
Full-text available
This paper deals with the problem of finding the optimal location and sizing of Energy Storage Systems in DC-electrified railway lines. These devices increment the use of the regenerated energy produced by the trains in the braking phases, as they store the energy to later provide to the catenary the excess of regenerated energy, that otherwise wou...
Preprint
Full-text available
This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system - a cascade-based operation scenario. For this, we propose a new mathematical modelling in which the goal is to maximize the total energy production of the hydro-power plant in a sub-daily operation, and, simultaneously, to maximize the total water con...
Article
This paper tackles the short-term hydro-power unit commitment problem in a multi-reservoir system - a cascade-based operation scenario. For this, we propose a new mathematical modelling in which the goal is to maximize the total energy production of the hydro-power plant in a sub-daily operation, and, simultaneously, to maximize the total water con...
Conference Paper
The unit dispatch problem is defined as the attribution of operational values to each generation unit inside a hydropower plant (HPP), given some criteria such as the total power to be generated, or the operational bounds of each unit. An optimal dispatch programming for hydroelectric units in HPP provides a larger production of electricity, with m...
Conference Paper
In this work we present a pattern classification approach coupling the Neighbourhood Component Analysis (NCA) classifier with the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO). The standard NCA uses the conjugate gradient method to minimize the classification error. Here we propose an approach using the C-DEEPSO instead...
Poster
Para cumplir con los ambiciosos objetivos de CO2 del acuerdo de París de 2015 para prevenir, o al menos minimizar, el cambio climático, existe una necesidad global de ofertar energía sostenible. Parte de esta energía será producida en un futuro cercano por sistemas de micro-generación. Las políticas impulsadas por el mercado se centran cada vez más...
Article
Hydro-power plants are able to produce electrical energy in a sustainable way. A known format for producing energy is through generation scheduling, which is a task usually established as a Unit Commitment problem. The challenge in this process is to define the amount of energy that each turbine-generator needs to deliver to the plant, to fulfill t...
Article
Hydro-power is a widespread source of energy, which currently provides over 60% of total renewable electricity production. As such, it plays a key role in green power generation, and has a fundamental influence on power market prices, because it can be used as a buffer for more volatile renewable sources, and it is relatively cheap to ramp up and d...
Article
Full-text available
In this paper we propose a novel path-loss model, the Weighted ABG (WABG), which suitably allows integrating or combine different available datasets, or previously proposed 5G propagation pathloss models from the state-of-the-art. Our proposal is therefore a new ABG-based approach which integrates other existing models, leading to the best possible...
Article
Full-text available
In this paper, we tackle the joint optimization of the network topology and the optimal location of distributed renewable energy resources in a Microgrid (MG). The MG network topology optimization problem is focused on obtaining network deployments with minimal cost, whereas the location of distributed renewable generation is associated with the mi...
Article
Full-text available
In this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally located and also the optimization of the MG topology design, i.e., deciding which nodes should be connected and deciding the li...
Article
The interest in solar radiation prediction has increased greatly in recent times among the scientific community. In this context, Machine Learning techniques have shown their ability to learn accurate prediction models. The aim of this paper is to go one step further and automatically achieve interpretability during the learning process by performi...
Article
Full-text available
Wind Power Ramp Events (WPREs) are large fluctuations of wind power in a short time interval, which lead to strong, undesirable variations in the electric power produced by a wind farm. Its accurate prediction is important in the effort of efficiently integrating wind energy in the electric system, without affecting considerably its stability, robu...
Article
This paper tackles the prediction of the global solar radiation (GSR) at a given point, using as predictive variables the outputs of a numerical weather model (the WRF meso-scale model) obtained at a different grid points. Prediction is obtained in this work using a Multilayer Perceptron (MLP) trained with Extreme Learning Machines (ELMs). Provided...
Article
Full-text available
This paper proposes a novel adaptive nesting Evolutionary Algorithm to jointly optimize two important aspects of the configuration and planning of a Microgrid (MG): the structure’s design and the way it is operated in time (specifically, the charging and discharging scheduling of the Energy Storage System, ESS, elements). For this purpose, a real M...
Article
Full-text available
In this paper we propose a Coral Reefs Optimization algorithm with substrate layers (CRO-SL) to tackle the battery scheduling optimization problem in micro-grids (MGs). Specifically, we consider a MG that includes renewable generation and different loads, defined by their power profiles, and is equipped with an energy storage device (battery) to ad...
Article
Full-text available
Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in the last few years, contributing to the deployment, management and optimization of RE systems. The main objective of this paper is...
Article
This paper presents a novel scheme for global solar radiation prediction, based on a hybrid neural-genetic algorithm. Specifically a grouping genetic algorithm (GGA) and an Extreme Learning Machine algorithm (ELM) have been merged in a single algorithm, in such a way that the GGA solves the optimal selection of features, and the ELM carries out the...
Article
In this paper a novel problem in MGs (Migrogrids) is analyzed. The problem consists in the joint optimization of the MG structure and operation, by obtaining on the one hand an optimal sizing of its elements and structural parameters, and on the other hand the scheduling for the ESS (energy storage system) in the MG. For this joint problem, a novel...
Article
In this paper we tackle the optimal Discharge Scheduling of Energy Storage systems Problem (DSESP) in MicroGrids, considering renewable generation, and applying hyper-heuristic (HH) algorithms. The problem consists of, given the generation and load profiles in the MicroGrid, obtaining the optimal discharge scheduling of the Energy Storage System (E...
Article
Full-text available
This paper reviews the most relevant works that have investigated robustness in power grids using Complex Networks (CN) concepts. In this broad field there are two different approaches. The first one is based solely on topological concepts, and uses metrics such as mean path length, clustering coefficient, efficiency and betweenness centrality, amo...
Chapter
In this paper we propose an Evolutionary Algorithm (EA) to tackle the Battery Scheduling Optimization Problem (BSOP) in MicroGrids (MG). Specifically, we consider a MG that includes renewable generation, different load profiles, and is equipped with an energy storage device (battery) to address its scheduling (charge/discharge duration and occurren...
Article
Mobile technology is currently one of the main pillars of worldwide economy. The constant evolution that mobile communications have undergone in the last decades, due to the appearance of new services and new technologies such as Universal Mobile Telecommunication Systems/High Speed Data Access and Long Term Evolution, has contributed to achieve th...
Article
Full-text available
In this paper a hyper-heuristic algorithm is designed and developed for its application to the Jawbreaker puzzle. Jawbreaker is an addictive game consisting in a matrix of colored balls, that must be cleared by popping sets of balls of the same color. This puzzle is perfect to be solved by applying hyper-heuristics algorithms, since many different...
Article
This paper presents an educational software tool to teach Artificial Intelligence (AI) techniques, specifically Hyper-heuristics, to Engineering students. This tool is based on the “Bubble Breaker” puzzle, an addictive game consisting in an M × M matrix of colored bubbles. These balls, when forming sets of two or more same colored balls, can be pop...
Article
This paper addresses two key technological barriers to the wider adoption of patient telemonitoring systems for chronic disease management, namely usability and sensor device interoperability. As a great percentage of chronic patients are elderly patients as well, usability of the system has to be adapted to their needs. This paper identifies (from...
Article
The real operation of a wind farm implies the solution of many different problems related to wind speed at a wind farm location site. Wind speed prediction and wind series reconstruction are the two examples of important problems tackled in wind farm management and prospection. Usually, wind speed prediction and reconstruction of wind series are ca...
Article
Electromagnetic pollution due to mobile telephony is one of the most concerning problems arising since the spreading of this technology. Different studies have shown the relationship between continuous exposition to electromagnetic fields and different kinds of pathologies. Despite this, the electromagnetic danger for exposition is not taken into a...
Chapter
Full-text available
Insurance sector, one of the cornerstones the financial system is based on, is currently facing major changes because of the urgent necessity of being adapted to the new context of global economic crisis. Within this frame, the financial system of any modern country needs to develop novel procedures aiming to make it more competitive and efficient,...
Article
This paper presents a hybrid evolutionary programming approach to solve the worst case tolerance design problem (WCTDP) in magnetic devices. The hybrid algorithm is formed by a basic evolutionary programming approach, mixed with a gradient-guided local search. Two different local searches procedures are tested in the paper, both specially designed...
Article
In this paper we present a novel grouping genetic algorithm for clustering problems. Though there have been different approaches that have analyzed the performance of several genetic and evolutionary algorithms in clustering, the grouping-based approach has not been, to our knowledge, tested in this problem yet. In this paper we fully describe the...
Article
This paper presents an evolutionary algorithm for wind speed reconstruction from synoptic pressure patterns. The algorithm operates in a search space formed by grids of pressure measures, and must classify the different situations into classes, in such a way that a measure of wind speed in a given point is minimized among patterns assigned to the s...
Article
Mobile communications have become one of the key points in the development of Information Society. Therefore the market demands to qualify engineers with a good formation on this topic, and more specifically related with good knowledge about the design and deployment of mobile and wireless networks and services of different technologies. For this r...
Conference Paper
There are several technologies for providing broadband services over wireless and cellular networks. The fundamental one in the evolution from 3G to 4G is probably the High Speed Downlink Packet Access (HSPA) technology. There are many works in the literature tackling the problem of HSPA performance and capacity. Most of the developed techniques in...
Article
Full-text available
This paper tackles the problem of sizing a standalone hybrid photovoltaic-batteries-hydrogen (PV-hydrogen) system, by applying an evolutionary algorithm. The system is specifically designed to cover the power necessities of remote, isolated telecommunications facilities, so it must be able to work in an unattended way during at least 2 years. Under...
Article
This paper presents a new model for team formation based on group technology (TFPGT). Specifically, the model is applied as a generalization of the well-known Machine-Part Cell Formation problem, which has become a classical problem in manufacturing in the last few years. In this case, the model presented is especially well-suited for problems of t...
Article
This paper presents a project-based learning experience to teach mobile communications courses, carried out at Alcalá University, Madrid, Spain. The experience consists of a competition among teams formed by students, who act as consultant companies working for imaginary operators. The objective of the teams is to obtain the best network design and...
Conference Paper
This paper presents a project-based learning experience to teach mobile communications subjects, carried out at Universidad de Alcalá, Madrid, Spain. The experience consists of a competition among teams formed by students, who act as consultant companies working for imaginary operators. The objective of the teams is to obtain the best network desig...
Article
Full-text available
A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic healthcare record (EHR) server. At the bedside end, the system is a plug-and-play senso...
Article
Full-text available
Remote patient monitoring in e-Health is everyday closer to be a mature technology / service. However, there is still a lack of development in areas such as standardization of the sensor's communication interface, integration into Electronic Healthcare Record systems or incorporation in ambient-intelligent scenarios. This work identifies a set of u...
Article
Full-text available
This paper presents a proof-of-concept design of a patient monitoring solution for Intensive Care Unit (ICU). It is end-to-end standards-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an Electronic Healthcare Record (EHR) server. At the bedside end a plug-and-play sensor network is impleme...
Article
This paper presents an extension of the terminal assignment problem (TA) in the case that groups of terminals must be assigned together. We analyze this situation by means of an equivalent problem: the wedding banquet problem (WBP). We provide a description of the problem and its mathematical definition. We also describe an application of the WBP t...
Article
Full-text available
Information and telecommunication technologies are called to play a major role in the changes that healthcare systems have to face to cope with chronic disease. This paper reports a telemedicine experience for the home care of chronic patients suffering from chronic obstructive pulmonary disease (COPD) and an integrated system designed to carry out...
Article
This paper presents an algorithm for the location of controllers in wireless communication networks using hybrid heuristics. We propose a model in which N base stations out of the total M of the network must be selected as controllers. The primary design objective is that the distance between all base stations and the N controllers is minimized. Th...
Article
Full-text available
This paper presents a system based on ambient intelligence (AmI) to foster home care monitoring of senior citizens and chronically ill patients. The most important fact addressed in this research is the development of non intrusive and easy to use sensing devices. According to this, medical tests do not need user collaboration to perform them, neit...
Article
Full-text available
Mobile health care solutions involving patient monitoring are an increasingly accepted element in chronic disease management strategies. When used in healthcare systems with different providers, it is essential that the information gathered from the patient is available at each of these providers information repositories. This paper describes the d...
Chapter
Full-text available
Care of chronic patients within any health care model around the world shows two main characteristics: first, it is responsible for a very significant part of the total health care costs and second, their intervention paradigms, based mostly on acute care by episodes, adapt with difficulties to the needs of these kind of patients. This situation op...
Conference Paper
Full-text available
Home-based care of chronic patients cannot be efficiently provided away from shared care models. This paper introduces a middleware architecture to integrate technology-based home care services within shared care models. The architecture comprises a multi-access layer to provide seamless access to data and services; a computer-supported service for...
Article
We have developed a new model for the care of chronically ill patients, based on home care supported by remote monitoring technology and telemedicine. The variables monitored included non-invasive blood pressure, blood oxygen saturation, threelead electrocardiogram, spirometry (including flow-volume curve) and respiratory rate. The telemedicine sys...
Article
Full-text available
This paper reviews the use of ISO11073/ IEEE1073 international standard in patient telemonitoring. The purpose of this family of standards is to allow interoperability between medical instrumentation devices and medical information systems. Its application in the field of telemonitoring can encourage telemedicine services and e-care, preventing fai...
Article
Full-text available
This work describes a proposal of five new use cases for telemonitoring in smart homes developed by three research groups in Spain. This proposal arises from the fact that standards are needed for any healthcare telemonitoring solution pretending to be competitive in an open context, while the ISO/IEEE11073 (X73) standards are moving to include the...

Projects

Projects (3)
Project
To meet the ambitious CO2 goals of the Paris agreement from 2015 to prevent, or at least minimize climate change, there is a global need for sustainable energy supply. Part of this energy is intended to be produced by micro-generation systems in a decentralized way. Market-driven policies are increasingly focused on promoting the use of micro-generation systems to meet customer needs. This change, however, proves to be a challenging task, particularly for those who choose to produce their own electricity based solely on locally available renewable resources, such as wind or solar power. Hybrid micro-grid systems (HMGS) are seen as a viable solution to this problem because they comprise one or more local energy sources and include demand control systems and storage devices. The proposed project has as goal to propose and improve new HMGS mathematic models and tools to provide the electric dispatch based on evolutionary computation optimization. The central idea is to propose a multiobjective model to minimize costs and losses maximizing the renewable sources. After the optimization phase’s a set of solutions will be analysed by multicriteria decision analyses techniques.
Archived project
Archived project