Adrián WillNational University of Technology | utn · Facultad Regional Tucumán
Adrián Will
PhD in Mathematics, FaMAF, Cordoba, 1998
Director of the research group GITIA (Grupo de Investigación en Tecnologías Informáticas Avanzadas)
About
47
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Introduction
Currently working with the local electricity distribution company EDETsa in a project that applies Artificial Intelligence, Intelligent Data Analysis and Edge Computing to solve Electricity Distribution Problems
Publications
Publications (47)
Customer rephasing is one of the most efficient techniques for balancing loads, reducing losses, and improving electricity quality. Traditionally, phase changes were performed by an operator, interrupting the supply during the process. Instead, a more recent approach proposes using phase switching devices that dynamically and imperceptibly transfer...
![Figure 3: General scheme of the Short-Term Load Forecasting method [16].](profile/Victor-Jimenez-5/publication/360120298/figure/fig2/AS:1151371659227139@1651519803818/General-scheme-of-the-Short-Term-Load-Forecasting-method-16_Q320.jpg)
The Smart Grids paradigm emerged as a response to the need to modernize the electric grid and address problems related to the demand for better quality energy. However, there are no fully developed and implemented smart grids, but only some minor scale tests to prove the concepts. Centralized systems are still common, with a low granularity of cont...
The pandemic has brought a lot of unexpected challenges and situations that very few organizations were prepared to handle. In particular, reconversion of Intermediate Care Units and other spaces into Intensive Care Units. Even stadiums and hotels were reconverted to Intensive Care Units worldwide, during the peaks of the pandemic. Among other chan...
This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others. The authors include new concepts of color space transformation like color interpolation, among others. Also, the concept of Shearlet Transform and Wav...
Monophasic customer phase connection determination in 3-phasic distribution transformer substation, is an international problem. Except for some Power Line Communications Technology, most but not all Smart Meters Technology can establish a customer to transformer relation. But identifying which phase a monophasic customer is connected to, or even i...
Load balancing is one of the most widely used techniques to reduce losses and improve service quality in low-voltage networks. Many methods have been proposed, including the customer phase reassignment, which has multiple advantages. However, its application represents a real challenge if the data availability is limited (only a few variables from...
Knowledge about the customers' phase connections is strategic and critical for utility companies. It allows them to optimize maintenance and repair operations, implement load balancing, and detect losses, among other benefits. However, this information may be incomplete or outdated due to the undocumented changes in the Low Voltage network. Several...
Climate change is currently affecting weather patterns, producing more severe storms, harsher weather, and heat waves in places never seen before. In particular, it brings the so called Air Conditioning Trap Problem: Greenhouse gases produce more heat in the atmosphere and heat waves (warmer weather in places never seen before), that gets people ar...
El modelado de datos es un problema fundamental en diversas áreas del conocimiento. La Regresión Simbólica es una técnica que permite encontrar una relación matemática para describir un conjunto de datos experimentales. A diferencia de los métodos tradicionales de modelado, la Programación Genética permite encontrar una expresión matemática suscept...
Image processing is a great tool for many applications in our day to day life. As we are in the midst of a visually captivating world which have a variety of forms and shapes, color, texture, motion etc. This is the great capability of human who can acquire, integrate and interpret the information around us. It becomes challenging task to impart th...
One of the most common problems in the electricity sector is the lack of accurate information about the structure of the low-voltage distribution network, particularly the association between the customers and the substation’s phases. Identifying to which substation’s phase each customer is connected reduces the response time to contingencies, impr...
Durante décadas de investigación en problemas de optimización, se han desarrollado innumerables algoritmos, tanto determinísticos como heurísticos. Aun así, debido a este amplio abanico de posibilidades resulta una tarea compleja determinar cuál de ellos es más adecuado para un problema específico. Se propone en este trabajo una comparativa entre d...
Variable selection problems generally present more than a single solution and, sometimes, it is worth to find as many solutions as possible. The use of Evolutionary Algorithms applied to this kind of problem proves to be one of the best methods to find optimal solutions. Moreover, there are variants designed to find all or almost all local optima,...
La presente invención pertenece al campo técnico de la medición de variables y análisis de datos en sistemas de provisión y distribución de energía eléctrica en general, en particular, enfocado a la identificación de fase y vinculación con la Subestación Transformadora de clientes en redes de distribución de baja tensión y Microgrids. La misma se r...
Existe una relación compleja y no lineal entre los factores que influyen en la resistencia de diseño y la compresión de hormigones reforzados con fibras de acero. La relación entre las variables de entrada, los factores y la variable de salida, y la resistencia de diseño a la compresión puede ser obtenida por un modelo neuronal artificial, cuyas ca...
Currently, the electrical system in Argentina is working at its maximum capacity, decreasing the margin between the installed power and demanded consumption, and drastically reducing the service life of transformer substations due to overload (since the margin for summer peaks is small). The advent of the Smart Grids allows electricity distribution...
In this work we present a Distributed Demand-Side Management system based on the Artificial Immune Network algorithm. It implements an intelligent, distributed and autonomous control of the customer’s Air Conditioning devices in order to meet the desired demand. The system is particularly adapted to tackle the Peak Load problem that appears in Trop...
La radiación solar es uno de los parámetros más importantes para el desarrollo de aplicaciones e investigaciones relacionadas a energías renovables. Sin embargo, la adquisición de mediciones de radiación solar no siempre es posible por diferentes motivos y es necesario contar con modelos que permitan estimarla. Estos modelos en su mayoría utilizan...
Load forecasting is a critical technique in the decision-making process for the proper management of different aspects of the electricity distribution network. Load Forecasting is a very complex problem, and there is a wide variety of techniques to address it. However, it is the data and local conditions that determine what technique is the best. I...
El consumo de energía, específicamente de energía eléctrica ha crecido de manera sostenida en las últimas décadas. Debido a los nuevos requisitos de los usuarios consumidores y al surgimiento de nueva tecnología se nacimiento a las Redes Inteligentes o Smart Grids. En éste contexto, es que surge la propuesto de Demand-Side Management (DSM) como alt...
Energy management is one of the most important problems in the world today, due among other reasons to the increase in clients electricity demand which generates the Peak Load problem. The rise of Smart Grids as a new paradigm, developed mainly to address those requirements, allows the design and implementation of more complex management and monito...
The present invention is referred to a disposition of electronic units and procedures to control and regulate the energy consumption of devices connected to the electric network in order to avoid blackouts generated by electric overloads or peak load, and to protect the providers and users electric installations in an autonomous and decentralized w...
Short-Term Load Forecating (STLF), está tomando una mayor relevancia por el desarrollo de las microgrid y los sistemas Supervisory Control And Data Acquisition (SCADA). Existe una explosión de datos en esta área; para lograr que los sistemas sean prácticos y precisos se necesita seleccionar de manera adecuada las variables de entrada utilizadas por...
La biomasa como fuente alterna de energía puede ser convertida en biogás producido a partir de la digestión anaeróbica de materia orgánica. Para tal fin se usa un compartimiento denominado biodigestor, y diversos protocolos se han definido para la estimación de su volumen y del biogás obtenido, usando una combinación de tablas para el origen de la...
Solar radiation is one of the most important parameters for applications, development and research related to renewable energy. However, solar radiation measurements are not a simple task for several reasons. In the cases where data are not available, it is very common the use of computational models to estimate the missing data, which are based ma...
La industria del azúcar de caña en Tucumán es de las actividades económicas más importantes de la provincia, pero a pesar de ello su distribución y logística no presenta una planificación optimizada. Este trabajo aborda dicha problemática a través de dos objetivos: en primer lugar presentar una mejora de modelos matemáticos previos, incorporando re...
La Programación Genética (PG) es un conjunto de técnicas de computación evolutiva basadas en Algoritmos Genéticos, que permiten resolver problemas mediante la generación automática de programas. La PG ha demostrado ser
un método eficiente para encontrar soluciones a una gran variedad de problemas donde se cuenta con una función objetivo o tarea a...
El problema de la predicción de consumo eléctrico a corto plazo o Short Term Load Forecasting (STLF), es un tema de capital importancia para las empresas de energía en la actualidad, ya que permite un manejo más eficiente, permitiendo un mejor aprovechamiento de los equipos y recursos. La predicción de la demanda es un problema complejo, ya que est...
La programación genética (PG) es un conjunto de técnicas de computación evolutiva que permiten resolver problemas automáticamente y que están basadas en Algoritmos Genéticos (AG). La PG ha sido un método muy utilizado para encontrar y evolucionar nuevas e inesperadas maneras de resolver problemas, en particular problemas de Regresión Simbólica (RS)...
La falta de datos en bases de datos climáticas es un problema común en todo el mundo. Debido a que los datos meteorológicos son un parámetro esencial para estudios y desarrollos de aplicaciones relacionados a clima y energía, es de vital importancia la utilización de técnicas para el relleno de datos faltantes. Esta tarea requiere conocimientos esp...
Prediction of climatic variables, in particular those related to wind and solar radiation, has developed a huge interest in recent years, mainly due to its applications to renewable energy. In many cases there is a large number of factors that influence the climatic variable of interest, and the researcher chooses the most relevant ones (based on p...
El reconocimiento facial es una herramienta moder-na con una amplia gama de aplicaciones como vigilan-cia, seguridad, etc. Las necesidades de seguridad y los aumentos en la capacidad de procesamiento y resolu-ción de las cámaras disponibles, ha hecho que estos sistemas estén teniendo un creciente interés. Sin embar-go la mayoría de este tipo de pro...
Resumen En diseño y construcción de estructuras de concreto, la resistencia a compresión lograda a los 28 días, es la especificación de control de estabilidad de la obra. La inclusión de fibras como reforzamiento de la matriz cementicia, ha permitido una ganancia en sus propiedades, además de la obtención de un material de alto desempeño; sin embar...
![Figura 1. Tipos de fibras de acero, comercialmente disponibles [36] y...](publication/305296730/figure/fig1/AS:383773528084484@1468510148023/Figura-1-Tipos-de-fibras-de-acero-comercialmente-disponibles-36-y-37-De-izquierda_Q320.jpg)
En diseño y construcción de estructuras de concreto, la resistencia a la compresión a 28 días de curado es la especificación de control de estabilidad de la obra. La inclusión de fibras como reforzamiento de la matriz cementicia permite una ganancia en sus propiedades, además de obtener un material de alto desempeño. En las normativas, se plantean...
![Figura 1. Tipos de fibras de acero, comercialmente disponibles [36] y...](profile/Luis-Gonzalez-Salcedo/publication/317506062/figure/fig1/AS:515688635011073@1499961159880/Figura-1-Tipos-de-fibras-de-acero-comercialmente-disponibles-36-y-37-De-izquierda_Q320.jpg)
By designing and building concrete structures, the compressive strength achieved at 28-day curing typically represents the stability control specification of any work. Furthermore, reinforcing fibers into the cement based matrix has allowed a gain to their properties, as well as a high performance material. Technical literature states predictive fo...
Artificial Neural Networks simulate the learning process of biological neurons, and these have been successfully used in the computation of parameters on several engineering problems where exist a strong nonlinear relation among the variables. In soil science, estimation of some properties involves variables that are complicated to estimate using m...
Artificial Neural Networks simulate the learning process of biological neurons, and these have been successfully used in the computation of parameters on several engineering problems where exist a strong nonlinear relation among the variables. In soil science, estimation of some properties involves variables that are complicated to estimate using m...
A new approach to describe the maximum strength criterion of concretes with different strength capacities is formulated. The proposed failure criterion incorporates the so-called "performance parameter" (beta(P)) that controls the dependence of the maximum strength on the concrete quality. To assure the feasibility of the solution procedure for any...
Para la dosificación de hormigones de resistencia normal se utilizan métodos empíricos que han sido suficientemente probados. En cambio, en lo que respecta a hormigones de alta resistencia, hay una falencia de dichos métodos, y habitualmente se recurre a la técnica de prueba y error para su dosificación. Esto involucra no sólo importantes costos de...
Suppose that the sphere Sn has initially a homogeneous distribution of mass and let G be the Lie group of orientation preserving projective diffeomorphisms of Sn. A projective motion of the sphere, that is, a smooth curve in G, is called force free if it is a critical point of the kinetic energy functional. We find explicit examples of force free p...
Resultados de numerosas y detalladas investigaciones experimentales demuestran que el comportamiento mecánico de hormigones varía fuertemente conforme aumenta su capacidad o resistencia uniaxial a compresión. Es sabido que tanto la ductilidad en endurecimiento y ablandamiento como el punto de transición de falla frágil a dúctil y el nivel de dilata...
We prove the polarity of the normal holonomy of riemannian submanifolds of lorentzian space. Using this result we prove that, essentially, there is no submanifold of hyperbolic space which admits a parallel normal field ξ ≠ 0 whose shape operator Aξ has constant eigenvalues. We prove the same result for submanifold of euclidean space by regarding t...
We prove that, essentially, the only complete, irreducible, and isoparametric Riemannian submanifolds of
n,k
are hyperbolic spaces or isoparametric submanifolds of Euclidean spaces. In particular, a simple and geometric proof of the theorem of Wu is derived.
Resumen: El Hormigón de Alta Resistencia (HSC), es un material complejo, de amplia aplicación, y cuyos ensayos experimentales son extremadamente caros debido al largo tiempo que se requiere para efectuarlos (28 dias, más en algunos casos). Por lo tanto, el modelado de su comportamiento es un tema de relevancia que ha sido sujeto de investigación lo...
Projects
Projects (5)
Determining the topology of the low-voltage grid in the electricity distribution network is problematic. In large cities, grid changes take time to be updated in the Geographic Information Systems (GIS), contain human errors, or produce other problems. Even more, using only one-phase connection in buildings with 3-phase energy is very common due to cost. In both cases, the information about phases and transformer substations is unknown or contains errors, increasing costs and decreasing service quality. In the case of old buildings like hospitals that have undergone several renovations over the years, the problem is worse because, usually, the blueprints do not match the reality of the circuits. The objective is to develop a system based on data analysis (PhID) that uses commercial smart meters data in order to detect the topology of the network. The system must work with very little data and be resilient and fully automated (no data cleansing or parameter adjustment of any kind).
In the current project, tools based on Artificial Intelligence are used to tackle the Peak Load Problem, such as Multi-Agent Systems, Artificial Immune Systems, and Genetic Algorithms. From the energy viewpoint, the project uses a Demand-Side Management approach to control energy demand. This strategy is oriented to reduce the impact of the Peak Loads transparently or imperceptibly to the electric consumer.
Data Analysis. Artificial Intelligence. Application to Energy Management and Optimization. Edge Computing.
