Cruz Enrique Borges

Cruz Enrique Borges
University of Deusto | DEUSTO · Deusto Tech Research Center

Mathematics

About

80
Publications
17,178
Reads
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765
Citations
Citations since 2017
37 Research Items
540 Citations
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120
Additional affiliations
May 2010 - June 2021
University of Deusto
Position
  • Research Associate
April 2006 - April 2010
Universidad de Cantabria
Position
  • Grant

Publications

Publications (80)
Article
Full-text available
Flexible and distributed energy markets are a reality that is progressively reaching many regions. Despite their clear benefits, they should be accepted by the prosumers. Additionally, blockchain technology and smart contracts have been characterised as a technological enabler for the energy sector and P2P Energy Markets (PEM). However, little rese...
Article
Full-text available
The main objective pursued by this survey is to debate the feasibility of a new distribution system in low voltage direct current (LVDC) microgrids and its impact on social development. To this end, this study provides valuable information for renewable energy planners and researchers, giving insights or solutions to reduce the transition gap betwe...
Article
Full-text available
The popularity of renewable energy systems has contributed significantly in the last years to the utility of low voltage direct current microgrids. However, these systems come with new challenges. This survey focuses on introducing a state-of-the-art low voltage direct current distribution system and sheds light on the challenges that must be faced...
Article
Full-text available
A rise in the number of EVs (electric vehicles) in Europe is putting pressure on power grids. At an urban scale, Positive Energy Districts (PEDs) are devised as archetypes of (small) urban districts managing a set of interconnected buildings and district elements (lighting system, vehicles, smart grid, etc.). This paper offers a comprehensive analy...
Conference Paper
Full-text available
This article presents preliminary results that assess the effect of electromobility in an archetype Positive Energy District (PED). We present a PED modelling approach that represents renewable energy generation, an energy storage system, the consumption of residential and non-residential buildings, smart lighting services, and the inclusion of ele...
Article
Full-text available
To achieve the European climate targets and the Paris Agreements, at least 65% of the electricity needs to be generated from renewable energy sources by 2030. This requires a significant increase of distributed energy resources, posing a challenge for distribution system operators to integrate them into existing hierarchical grids. The concept of L...
Article
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Real-life data are bounded and heavy-tailed variables. Zero-one-inflated beta (ZOIB) regression is used for modelling them. There are no appropriate methods to address the problem of missing data in repeated bounded outcomes. We developed an imputation method using ZOIB (i-ZOIB) and compared its performance with those of the naïve and machine-learn...
Conference Paper
Abstract—This article analysis the possibility of achieving a Positive Energy District (PED), i.e. a district that generates more energy than it consumes. The paper presents a simulation-based analysis (MATLAB-Simulink environment) of an urban unit composed by 6 buildings, 6 streetlights and an electric vehicle (EV) charger. The PED is analysed wit...
Article
Full-text available
The daily analysis of loads is one of the most important activities for power utilities in order to be able to meet the energy demand. This analysis not only includes short-term forecasting but it also encompasses the completion of missing load data, known as imputation. In this work we show that adding information of attached or bordering primary...
Article
Full-text available
Occupants of tertiary environments rarely care about their energy consumption. This fact is even more accentuated in cases of buildings of public use. Such unawareness has been identified by many scholars as one of the main untapped opportunities with high energy saving potential in terms of cost-effectiveness. Towards that direction, there have be...
Article
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The arrival of different renewable energy and storage technologies with lower costs is helping smaller communities to gain access to affordable electricity resources through energy systems fed from heterogeneous generation resources. With the growing popularity of Hybrid Renewable Energy Systems (HRES), a novel kind of end-user software tool has al...
Article
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Recommendation systems are gaining popularity on Internet platforms such as Amazon, Netflix, Spotify or Booking. As more users are joining these online consumer and entertainment sectors, the profile-based data for providing accurate just-in-time recommendations is rising thanks to strategies based on collaborative filtering or content-based metric...
Article
Full-text available
The methodology presented in this article tries to make a water-energy auditing so as to design the same water network characteristics but being supplied by photovoltaic (PV). We identify which data would be required to define the most effective process to follow in order to reach better water and energy consumption efficiency rates. An analytical...
Chapter
Sustainability is strongly related to the appropriate use of available resources, being an important cornerstone in any company’s administration due to the direct influence on its efficiency and ability to compete in the global market. Therefore, the intelligent and proper management of these resources is a pressing matter in terms of cost savings....
Article
Full-text available
The objective of this paper is to make a minutely comparison between 3 different DC microgrids by addressing their most outstanding advantages and disadvantages not only in technical terms, but also regarding other performance related aspects, such as a) measurement of the quality of the electrical supply of the facilities, b) reliability, and c) e...
Conference Paper
Motor vehicle abuse entails emitting large amounts of greenhouse gases to the atmosphere. In order to reduce climate change and life expectancy loss, authorities want to launch a set of sustainable travel policies which should be evaluated before their deployment. Although multi-agent systems for traffic analyses are very popular, they mainly focus...
Article
Full-text available
This paper presents a novel methodology for the sizing of an off-grid photovoltaic DC microgrid with emphasis on cost reduction and design simplification. The sizing algorithms used to design and build each of the subsystems of the installation are also presented and validated by the SimPowerSystem tool. The methodology has been tested on a real bu...
Article
Full-text available
The GreenSoul project introduces an innovative energy-efficient platform which enhances traditional public-use buildings with various technologies, such as smart adaptors, energy analyzers, an occupant aware decision support engine, mobile applications and interactive ambient interfaces. These enhancement aims to directly improve the interactions b...
Article
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Quantifying the impact of the application of sustainable transport policies is essential in order to mitigate effects of greenhouse gas emissions produced by the transport sector. One of the most common approaches used for this purpose is that of traffic modelling and simulation, which consists of emulating the operation of an entire road network....
Article
The main motivation for carrying out this research is to collaborate in developing new less aggressive energy consumption mechanisms to take care of the environment and reduce greenhouse emissions. This paper is focused on the development of a DC photovoltaic building in off-grid operation mode. The modelized PV system satisfies the energy demand o...
Article
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This paper shows the results of a research work which main objective is to demonstrate the feasibility of using solar photovoltaic generators to feed, in standalone configuration, a direct current installation of a hosting services building. This building features a high energy consumption and is located in a geographic zone with medium solar irrad...
Conference Paper
The GreenSoul (GS) framework aims to provide a low-cost energy-efficient Information and Communications Technology (ICT) platform which seamlessly augments a traditional public-use building with a set of assets (apps, interactive interfaces, device adaptors, smart meters and a Decision Support Engine), which mediate in the interactions of users wit...
Article
Full-text available
Human activity recognition has the potential to become a real enabler for ambient assisted living technologies. Research on this area demands the execution of complex experiments involving humans interacting with intelligent environments in order to generate meaningful datasets, both for development and validation. Running such experiments is gener...
Article
Full-text available
Energy demand is increasing globally, and in consequence greenhouse-gas emissions from this sector are on the rise as well. This trend is set to continue, driven primarily by the economic growth and the rising population. Solutions in this area go hand in hand with the worldwide deployment of policies that look forward a better management and usage...
Article
In this work the kinetic modelling of the transformation of Bioethanol-To-Olefins (BTO) process over a HZSM-5 catalyst treated with alkali using Artificial Neural Networks (ANN) is presented. The main goal has been to obtain a BTO process neuronal model with the desired accuracy that allows the simplification and reduction of the computational cost...
Chapter
Full-text available
The reduction of carbon emissions within the transportation sector is one of the most important steps against the threat of global warming. Unless strict emissions-reduction and fuel economy policies are in place, the resulting pollution is expected to increase dramatically along with the amount of vehicles on the roads. An accurate quantification...
Conference Paper
Full-text available
Global contribution from buildings towards energy consumption is becoming a serious and pressing matter in terms of sustainability and world economies. In addition, the continuous population growth influences the demand for building services and comfort levels significantly, ensuring that the trend in energy demand will continue to increase in the...
Conference Paper
Full-text available
This paper is focused on the application of Artificial Neural Networks to model a recovery biomass boiler from the Joutseno paper mill (Finland). The crossvalidation technique has been used to train the neural model. The validation phase has been carried out with new data, which have never been known or seen during the training procedure. As a resu...
Conference Paper
In order to achieve higher energy efficiency in buildings, it is essential that devices be consciously used. The GreenSoul project aims to build energy awareness to users and help them change their energy consumption behavior. This will be succeeded by changing the way people use energy consuming devices and by embedding intelligence in the devices...
Conference Paper
This paper presents a study on dynamic optimization of the catalytic transformation of Bioethanol-To-Olefins process. The main objective is to maximize the total production of Olefins by calculating simultaneously the optimal control trajectories for the main operating variables of the process. Using Neural Networks trained with two different types...
Conference Paper
Full-text available
Deployment and maintenance of Smart Homes and Smart Grids in real environments is an expensive and lengthy process. In this paradigm, simulations play an important role by providing means of emulating the behaviour of the aforementioned systems. However, these simulations may suffer from lack of accuracy due to the inability to properly reproduce t...
Chapter
We propose a tool for controlling the complexity of Genetic Programming models. The tool is supported by the theory of Vapnik-Chervonekis dimension (VCD) and is combined with a novel representation of models named straight line program. Experimental results, implemented on conventional algebraic structures (such as polynomials), show that the empir...
Article
Full-text available
We present a methodology to improve the estimation of several Sustainability Indicators based on the measurement of walking distance to infrastructures combining Agent Based Simulation with Volunteer Geographic Information. Joining these two forces we construct a more realistic and accurate distribution of the infrastructures based on knowledge cre...
Research
This paper presents a regularization method for program complexity control of linear genetic programming tuned for transcendental elementary functions. Our goal is to improve the performance of evolutionary methods when solv- ing symbolic regression tasks involving Pfaffian functions such as polynomials, analytic algebraic and transcendental operat...
Article
This paper presents a strategy for the optimisation of the operational conditions of the catalytic transformation of Bioethanol into Olefins (BTO) process. The variables to optimise are the main operating variables of the process (temperature, space-time and water content in the feed), and the objective function is to maximise the total production...
Chapter
We present here an autonomous agent-based system tightly coupled with Geographic Information Systems (GIS). Our objective is to model a city’s dynamic in order to foresee both its urban evolution and the influence that the appearance of new settlements has on the overall electricity demand. This environment is deployed on a GIS-based Multi-Agent Sy...
Conference Paper
Full-text available
We experiment with several evolutionary algorithms for solving systems of polynomial equations with real coefficients. As a main difference with previous work, our algorithms can certify the correctness of the so-lutions they provide. This achievement is made possible by incorporating results from the field of numerical analysis to their fitness fu...
Article
Full-text available
In this work we present a comparison of several Artificial Neural Networks weights initialization methods based on Evolutionary Algorithms. We have tested these methods on three datasets: KEEL regression problems, random synthetic dataset and a dataset of concentration of different chemical species from the Bioethanol To Olefins process. Results de...
Conference Paper
Full-text available
Short-term load forecasting (STLF) is a major column in every day's life of power networks nowadays. Attached or bordering primary substation may share common features such as temperature, humidity, wind direction and force, etc. and, therefore, they may present similar changes in their consumption profile. Following this idea, we address here the...
Conference Paper
Full-text available
So far the worlds of building automation and power networks have co-existed electrically attached but without data interaction, with different, and sometimes divergent, goals and requirements. The smartgrid community is coping nowadays with a new phase in the deployment of its vision: the integration of smart buildings, making use of their services...
Conference Paper
Full-text available
Building automation has grown in parallel to energy smart grids without much interaction. However, at present, these two worlds cannot remain separated any more, as long as intelligent buildings become another node of the grid. This paper shows that this integration can be performed in practice as long as a harmonized knowledge/data model for the t...
Conference Paper
Full-text available
In this paper we propose a tool for controlling the complexity of Genetic Programming models. The tool is supported by the theory of Vapnik-Chervonekis dimension (VCD) and is combined with a novel representa-tion of models named straight line program. Experimental results, implemented on conventional algebraic structures (such as polynomials) and r...
Article
Full-text available
We present here a combined aggregative short-term load forecasting method for smart grids, a novel methodology that allows us to obtain a global prognosis by summing up the forecasts on the compounding individual loads. More accurately, we detail here three new approaches, namely bottom-up aggregation (with and without bias correction), top-down ag...
Article
Full-text available
Short-term load forecasting (STLF) in buildings differs from its broader counterpart in that the load to be predicted does not seem to be stationary, seasonal and regular but, on the contrary, it may be subject to sudden changes and variations on its consumption behaviour. Classical STLF methods do not react fast enough to these perturbations (i.e....
Article
Full-text available
The smart grid revolution demands a huge effort in redesigning and enhancing current power networks, as well as integrating emerging scenarios such as distributed generation, renewable energies or the electric vehicle. This novel situation will cause a huge flood of data that can only be handled, processed and exploited in real-time with the help o...
Article
Full-text available
Long-term load forecasting aims at predicting the evolution of the electric consumption in a certain area in order to resize the grid in accordance. There are two components to study: the increment in existing consumption and the appearance of new clients. We focus here on the latter. With this pur-pose, we present an ongoing work that applies agen...
Chapter
Full-text available
Frequently, when an evolutionary algorithm is applied to a population of symbolic expressions, the shapes of these symbolic expressions are very different at the first generations whereas they become more similar during the evolving process. In fact, when the evolutionary algorithm finishes most of the best symbolic expressions only differ in some...
Conference Paper
Full-text available
Short-term load forecasting (STLF) is one of the main pillars of the smart grid vision since a reliable prediction helps reducing the deviation in the generation and, consequently, increases the overall efficiency. Classic STLF methods range from statistical models to more complicated Artificial Intelligence approaches. All of them presents remarka...
Conference Paper
Full-text available
The arrival of the smart grid paradigm has brought a number of novel initiatives that aim at increasing the level of energy efficiency of buildings such as smart metering or demand side management. Still, all of them demand an accurate load estimation. Short-term load forecasting in buildings presents additional requirements, among others the need...
Conference Paper
Full-text available
Very often symbolic regression, as addressed in Genetic Programming (GP), is equivalent to approximate interpolation. This means that, in general, GP algorithms try to fit the sample as better as possible but no notion of generalization error is considered. As a consequence, overfitting, code-bloat and noisy data are problems which are not satisfac...