GUERRERO ALONSO , Juan Ignacio

Nowadays, Distribution System Operators are increasing the digitalization of their smart grids, making it possible to measure and manage their state at any time. However, with the massive eruption of change-distributed generation (e.g., renewable resources, electric vehicles), the grid operation have become more complex, requiring specific...

The health care building designing is a very difficult process in which there are a great quantity of parameters and variables that it is necessary to consider. The health care building should reach the population needs. Additionally, the design of this type of building and the related facilities involves a great quantity of regulations which...

The health care building designing is a very difficult process in which there are a great quantity of parameters and variables that it is necessary to consider. The health care building should reach the population needs. Additionally, the design of this type of building and the related facilities involves a great quantity of regulations which...

The process of digitalization has become a must in recent years. This digitalization affects not only to data management and communication, but also to most of the processes of the industry. One of the paradigms that have recently gained most attention is the creation of digital twins, i.e., accurate models of processes or elements that can be...

This paper outlines the development of an onboard computer prototype for data registration, storage, transformation, and analysis. The system is intended for health and use monitoring systems in military tactical vehicles according to the North Atlantic Treaty Organization Standard Agreement for designing vehicle systems using an open...

Energy is the most important cost factor in the petrochemical industry. Thus, energy efficiency improvement is an important way to reduce these costs and to increase predictable earnings, especially in times of high energy price volatility. This work describes the development of an expert system for the improvement of this efficiency of the...

En este trabajo se presenta el desarrollo de una capa de servicios basado en el estándar Common Information Model - RESTful Services (CIM-RS), que permite implementar servicios Representational State Transfer (REST), expresados conforme al estándar de información Distributed Management Task Force Common Information Model (DMTF CIM). De esta...

Las flotas de vehículos eléctricos y las Smart Grids son dos tecnologías emergentes muy prometedoras que han provisto nuevas formas de reducir la polución e incrementar la eficiencia energética. Naturalmente, estos elementos aumentan la complejidad de gestión del sistema eléctrico puesto que dichos vehículos pueden ser considerados como cargas...

Meter tampering is defined as a fraudulent manipulation which implies a service that is not billed by a utility company. It is a lack of consumption control for the utility company and a main problem because they represent an important loss of income. We have developed a methodology consists of a set of three algorithms for the detection of...

The arrival of new technologies related to smart grids and the resulting ecosystem of applications andmanagement systems pose many new problems. The databases of the traditional grid and the variousinitiatives related to new technologies have given rise to many different management systems with several formats and different architectures. A...

This paper presents a stochastic optimization approach for the operational management of sustainable energy districts and polygeneration microgrids. Stochastic operation optimization allows for an uncertain approach to deal with imprecise variables. A new approach is here presented for generating scenarios based on Ant Colony Optimization (ACO)...

Clustering in energy markets is a top topic with high significance on expert and intelligent systems. The main impact of is paper is the proposal of a new clustering framework for the automatic classification of electricity customers' loads. An automatic selection of the clustering classification algorithm is also highlighted. Finally, new...

Currently, power distribution companies have several problems that are related to energy losses. For example, the energy used might not be billed due to illegal manipulation or a breakdown in the customer's measurement equipment. These types of losses are called non-technical losses (NTLs), and these losses are usually greater than the losses...

The rapidly growing world energy use already has concerns over the exhaustion of energy resources andheavy environmental impacts. As a result of these concerns, a trend of green and smart cities has beenincreasing. To respond to this increasing trend of smart cities with buildings every time more complex,in this paper we have proposed a new...

Raspberry Pi is one of the most popular devices for research in many different fields. It is proposed to analyse its performance as a lightweight blockchain node. This could enable the Raspberry Pi to execute other tasks and the same time, like data acquisition or working as an Internet of Things node, without losing performance. To achieve...

The integration of distributed energy resources in the power grid supposes a great challenge, considering the expected growing in the electric mobility and the renewable generation. Therefore, to support the successful deployment of these resources, energy management according to the expected behaviors of the elements of power grids is...

The detection of non-technical losses (NTLs), in most papers, commonly deals with the utilization of the registered consumption for each customer; besides, some researchers used the economic activity, the active/reactive ratio and the contract power. Currently, utility company databases store enormous amounts of information on both...

This paper describes a method proposed in order to recover electrical energy (lost by abnormality or fraud) by means of a data mining analysis based in outliers detection. It provides a general methodology to obtain a list of abnormal users using only the general customer databases as input. The hole input information needed is taken...

This paper deals with the characterization of customers in power companies in order to detect consumption Non-Technical Losses (NTL). A new framework is presented, to find relevant knowledge about the particular characteristics of the electric power customers. The authors uses two innovative statistical estimators to weigh variability and trend...

The MIDAS project began in 2006 as collaboration between Endesa, Sadiel, and the University of Seville. The objective of the MIDAS project is the detection of Non-Technical Losses (NTLs) on power utilities. The NTLs represent the non-billed energy due to faults or illegal manipulations in clients' fa cilities. Initially, research lines study...

A non-technical loss (NTL) is defined as any consumed energy or service which is not billed because of measurement equipment failure or illintentioned and fraudulent manipulation of said equipment. This paper describes new advances that we have developed for Midas project. This project is being developed in the Electronic Technology Department...

La pandemia de COVID-19 ha causado problemas en todo el mundo. Para controlar la propagación del virus, algunos gobiernos han impuesto restricciones a la movilidad de sus ciudadanos. El efecto de estas acciones no solo se ha visto reflejado en datos epidemiológicos, sino también en el comportamiento de la población y, por lo tanto, en los...

The Non-Technical Losses (NTLs) represent the non-billed energy due to faults or illegal manipulations in customer facilities. The objective of the Midas project is the detection of NTL through the application of computational intelligence over the information stored in utility company databases. This project has several research lines. Some...