An agent-based simulator to estimate domestic energy use

Throughout recent years, there has been an increase in the population size, as well as a fast economic growth, which has led to an increase of the energy demand that comes mainly from fossil fuels. In order to reduce the ecological footprint, governments have implemented sustainable measures and it is expected that by 2035 the energy produced from renewable energy sources, such as wind and solar would be responsible for one-third of the energy produced globally. However, since the energy produced from renewable sources is governed by the availability of the respective primary energy source there is often a mismatch between production and demand, which could be solved by adding flexibility on the demand side through demand response (DR). DR programs influence the end-user electricity usage by changing its cost along the time. Under this scenario the user needs to estimate the energy demand and on-site production in advance to plan its energy demand according to the energy price. This work focuses on the development of an agent-based electrical simulator, capable of: (a) estimating the energy demand and on-site generation with a 1-min time resolution for a 24-h period, (b) calculating the energy price for a given scenario, (c) making suggestions on how to maximize the usage of renewable energy produced on-site and to lower the electricity costs by rescheduling the use of certain appliances. The results show that this simulator allows reducing the energy bill by 11% and almost doubling the use of renewable energy produced on-site.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Relatório de estágio na Caixa Geral de Depósitos

This report will describe the activities undertaken during my internship at the Personnel Department (DPE-UPE4.1) in Caixa Geral de Depósitos (CGD), Lisbon, between September 22, 2014, and February 28, 2015. I consider that it is important to note from the outset i) that the subject of my training was suggested by my supervisor in the DPE and accepted by me; and ii) that the internship consisted essentially of carrying out research and information gathering into the different social systems that coexist within the bank and the application of each legal system in solving concrete situations of the CGD employees. The research and analysis of information was important not only for my study but for the CGD itself, as it enables the department to have such an important matter, full of specific characteristics, condensed into a single document, i.e. this report. This is a complex reality. The various welfare systems differ according to the contractual agreement linking the employee to the employer at the date when the labour contract is signed, and also the unique/singular characteristics of the CGD. In the early stage I started by trying to understand the financial institution and its organization and role and the department where I worked. So I analyzed the CGD Statutes and the legal measures that crystallized the scheme for its employees and I also researched its domestic and international operations. The first month was devoted to the research and analysis of such legislation to understand the creation of the CGD and its path to date. In the second and third months I studied the legal social systems that are applied to different groups of CGD workers. This period was quite important to identify and understand the differences between those regimes of CGD employees as well as the procedure inherent in each case. I highlighted the non-implementation of “the social protection regime of convergence” to the workers of this institution; the differences regarding the allocation of sickness subsidies paid to workers who belong to Social Security and CGA contributors, as well as the enforcement of internal rules to all the workers when a work-related accident happens.Then I focused on to assessing and examining external legislation and several internal regulations in order to obtain solutions to questions raised and situations involving by the workers, in order to understand how the DPE solves these situations. Over the last three months of internship, after this more theoretical work, I began the analysis of concrete situations involving employees carrying out their duties in Portugal and abroad. Some of these situations had been received by the department before the beginning of my internship and others over this period. When I was “working” in the DPE I analyzed “cases” that had been solved and some others without a final solution because they were still in courts. As for the last ones (new cases) I was able to follow their assessment and sometimes their outcome. Some of them became study cases for me. Over these five months of my internship, several cases were analyzed and discussed by legal experts of DPE in which I could participate. I always worked hard. I know that this action contributed to elucidate me about the treatment of the issues, and allowed me to have a direct contact with some workers and be part of a dynamic work team. For these reasons, my internship report is not merely descriptive of activities. It consists of an analysis of rules (legislation) and a regulatory framework of activities and it is also a description of several specific situations solved or in a solution process. Through this work I intend to make known the particular reality of a modern Portuguese financial institution not only because of its importance in our country but also such a large number of employees work here (in Portugal and abroad). I should add that throughout my internship I was allowed to attend conferences, within the scope of the bank in order to get a broader view of some issues related to the daily life of the DPE and the CGD. So, I participated in I Jornadas Bancárias and the Conferência Internacional do Contrato a Termo, given that the CGD is a bank and the DPE deals with legal and labour relations.