Simulated Annealing Approach Applied to the Energy Resource Management Considering Demand Response for Electric Vehicle

The aggregation and management of Distributed Energy Resources (DERs) by an Virtual Power Players (VPP) is an important task in a smart grid context. The Energy Resource Management (ERM) of theses DERs can become a hard and complex optimization problem. The large integration of several DERs, including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodologies to come up with a good solution with a reasonable amount of time. The presented paper proposes a Simulated Annealing (SA) approach to determine the ERM considering an intensive use of DERs, mainly EVs. In this paper, the possibility to apply Demand Response (DR) programs to the EVs is considered. Moreover, a trip reduce DR program is implemented. The SA methodology is tested on a 32-bus distribution network with 2000 EVs, and the SA results are compared with a deterministic technique and particle swarm optimization results.

Electricity Markets Portfolio Optimization using a Particle Swarm Approach

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi-Agent System for Competitive Electricity Markets), which simulates the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. However, it is still necessary to adequately optimize the player’s portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering the different markets the player is acting on in each moment, and depending on different contexts of negotiation, such as the peak and offpeak periods of the day, and the type of day (business day, weekend, holiday, etc.). The proposed approach is tested and validated using real electricity markets data from the Iberian operator – OMIE.

Biomarkers in Solea Senegalensis Kaup, 1858 exposed to contaminated estuarine sediments: a multi-level approach

Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental Sciences

Dynamic Approach and Testbed for Small and Medium Players Simulation in Smart Grid Environments

The Smart Grid environment allows the integration of resources of small and medium players through the use of Demand Response programs. Despite the clear advantages for the grid, the integration of consumers must be carefully done. This paper proposes a system which simulates small and medium players. The system is essential to produce tests and studies about the active participation of small and medium players in the Smart Grid environment. When comparing to similar systems, the advantages comprise the capability to deal with three types of loads – virtual, contextual and real. It can have several loads optimization modules and it can run in real time. The use of modules and the dynamic configuration of the player results in a system which can represent different players in an easy and independent way. This paper describes the system and all its capabilities.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

A New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Grids

An intensive use of dispersed energy resources is expected for future power systems, including distributed generation, especially based on renewable sources, and electric vehicles. The system operation methods and tool must be adapted to the increased complexity, especially the optimal resource scheduling problem. Therefore, the use of metaheuristics is required to obtain good solutions in a reasonable amount of time. This paper proposes two new heuristics, called naive electric vehicles charge and discharge allocation and generation tournament based on cost, developed to obtain an initial solution to be used in the energy resource scheduling methodology based on simulated annealing previously developed by the authors. The case study considers two scenarios with 1000 and 2000 electric vehicles connected in a distribution network. The proposed heuristics are compared with a deterministic approach and presenting a very small error concerning the objective function with a low execution time for the scenario with 2000 vehicles.

Digital storytelling: an integrated approach to language for the 21st century student

Societal changes have, throughout history, pushed the long-established boundaries of education across all grade levels. Technology and media merge with education in a continuous complex social process with human consequences and effects. We, teachers, can aspire to understand and interpret this volatile context that is being redesigned at the same time society itself is being reshaped as a result of the technological evolution. The language- learning classroom is not impenetrable to these transformations. Rather, it can perhaps be seen as a playground where teachers and students gather to combine the past and the present in an integrated approach. We draw on the results from a previous study and argue that Digital Storytelling as a Process is capable of aggregating and fostering positive student development in general, as well as enhancing interpersonal relationships and self-knowledge while improving digital literacy. Additionally, we establish a link between the four basic language-learning skills and the Digital Storytelling process and demonstrate how these converge into what can be labeled as an integrated language learning approach.

RAISING INTERCULTURAL AWARENESS AT PRIMARY LEVEL THROUGH STORYTELLING WITHIN A CLIL APPROACH

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ensino de Inglês

Declarative approach to data extraction of web pages

Thesis submitted to Faculdade de Ciências e Tecnologia of the Universidade Nova de Lisboa, in partial fulfilment of the requirements for the degree of Master in Computer Science

Double coverage and demand for health care: Evidence from quantile regression

An individual experiences double coverage when he bene ts from more than one health insurance plan at the same time. This paper examines the impact of such supplementary insurance on the demand for health care services. Its novelty is that within the context of count data modelling and without imposing restrictive parametric assumptions, the analysis is carried out for di¤erent points of the conditional distribution, not only for its mean location. Results indicate that moral hazard is present across the whole outcome distribution for both public and private second layers of health insurance coverage but with greater magnitude in the latter group. By looking at di¤erent points we unveil that stronger double coverage e¤ects are smaller for high levels of usage. We use data for Portugal, taking advantage of particular features of the public and private protection schemes on top of the statutory National Health Service. By exploring the last Portuguese Health Survey, we were able to evaluate their impacts on the consumption of doctor visi

The impact of pharmaceutical policy measures: a structural-break approach

Pharmaceutical spending in many other countries has had a steep increase in the last decade. The Portuguese Government has adopted several measures to reduce pharmaceutical expenditure growth, ranging from increased co-payments to price decreases determined administratively. Promotion of generic consumption has also ranked high in political priorities. We assess the overall impact of the several policy measures on total pharmaceutical spending, using monthly data over the period January 1995 – August 2008. Endogenous structural breaks (time-series) methods were employed. Our findings suggest that policy measures aimed at controlling pharmaceutical expenditure have been, in general, unsuccessful. Two breaks were identified. Both coincide with administratively determined price decreases. Measures aimed at increasing competition in the market had no visible effect on the dynamics of Government spending in pharmaceutical products. In particular, the introduction of reference pricing had only a transitory effect of less than one year, with historical growth resuming quickly. The consequence of it is a transfer of financial burden from the Government to the patients, with no apparent effect on the dynamics of pharmaceutical spending. This strongly suggests that pharmaceutical companies have been able to adjust to policy measures, in order to sustain their sales. It remains a challenge for the future to identify firms’ strategies that supported continued growth of sales, despite the several policy measures adop

Robustness of corroded reinforced concrete structures. A structural performance approach

Structure and Infrastructure Engineering, 1-17

Paralisia cerebral na Região de Lisboa e Vale do Tejo : factores de risco : caracterização multidimensional : inclusão escolar

RESUMO - A Paralisia Cerebral (PC) deve ser olhada como uma patologia do neurodesenvolvimento: a infância é um período de actividade exploratória por essência, a restrição motora condiciona as várias áreas do desenvolvimento. Contextos, apoios, oportunidades e experiências de vida serão determinantes no desenvolvimento de todo o seu potencial. Objectivos/finalidade: Identificar, descrever, comparar e analisar factores de risco associados à PC, sua caracterização multidimensional e integração escolar aos 5 e 10 anos. Procurou‐se contribuir para a sua prevenção primária e secundária, e obter dados para planeamento e implementação dos programas de apoio. Métodos: Adoptou‐se a abordagem do Programa Nacional de Vigilância da Paralisia Cerebral (PNVPC) e da Surveillance of Cerebral Palsy in Europe (SCPE). Analisaram‐se factores de risco, competências funcionais, défices associados, severidade e integração escolar de duas populações de Lisboa e Vale do Tejo, (nascimento 1996/1997‐2001/2002 e prevalência aos 5 e 10 anos). Descreveram‐se os dados, efectuaram‐se correlações, aplicaram‐se testes de independência e compararam‐se com dados dos nadovivos, dados nacionais e europeus. Analisaram‐se os factores que influenciaram a integração escolar através de métodos de regressão logística. Resultados/Conclusões/Recomendações: 1,65‰ e 1,57‰ dos nadovivos desenvolveram PC; a prevalência aos 5 anos foi de 1,7‰ e de 1,48‰; 5,9% e 7,9% faleceram antes dos 5 anos. Em 2001/2002 verificou‐se aumento de: PC espástica bilateral‐2/3membros, prematuridade, causa pos‐neonatal, níveis funcionais ligeiros e graves; percentil estaturo‐ponderal <3 (5‐anos). Diminuição de: disquinésia, anóxia e alguns défices associados. Destacaram‐se as associação: prematuridade e PC espástica bilateral‐ 2/3membros; nascer de termo e anóxia, disquinésia, primíparas, défices associados e severidade; infecção pré‐natal e QI<50, epilepsia e severidade; causa pos‐neonatal e PC espástica bilateral‐4membros e múltiplos défices. Aos 5 anos, as variáveis explicativas para a não inclusão escolar foram: QI<50 e epilepsia; uma elevada percentagem de crianças com PC moderada/grave encontrava‐se integrada; 75% das que se encontravam desintegradas mantiveram‐se nesta situação aos 10. Nesta idade, as variáveis explicativas para a não inclusão escolar foram: QI<50 e motricidade fina; 35,1% encontrava‐se fora do ensino regular; 4,5%, embora em idade de escolaridade obrigatória, não frequentavam qualquer estabelecimento escolar. Informação sistematizada, abrangente, objectiva, simples e acessível, sobre novos casos de PC, factores de risco, prevalência em idades‐chave e caracterização multidimensional constitui uma ferramenta clínica e epidemiológica, que deve sustentar as políticas de saúde, educacionais e sociais, contribuindo para a permanência destas crianças no ensino regular, trazendo às crianças e famílias o suporte que as encorajem e sustentem nestes processos. ABSTRACT ------- Cerebral Palsy (CP) must be recognized as a neurodevelopmental disorder: childhood is, on its nature, a period for exploring the environment and therefore motor deficit interferes with all developmental areas. The context, support, opportunities and life experiences are determinants for the development of his full potential. Objective/Aim: To identify, describe, compare and analyze CP risk factors the multidimensional characterization and school integration levels at the age of 5 and 10 years. We aim to contribute to CP primary and secondary prevention and provide information for service planning and implementation of support programs. Methods: The approach of National Cerebral Palsy Surveillance Programme (NCPSP) and Surveillance of Cerebral Palsy in Europe (SCPE) were used. For two groups of children from Lisboa e Vale do Tejo region, birth data 1996/1997‐2001/2002 and prevalence at 5 and 10 years, were analyzed: CP risk factors, functional ability, associated impairments, severity and school integration settings. Data collected was described, analyzed using correlations, applied tests of independence and compared with new born data, national data and european data. To analyze the factors related to school inclusive settings, logistic regression was appealed. Results/Conclusions/Recommendations: 1,65% and 1,57‰ of the new‐born alive developed CP. The prevalence at 5 years was 1,7‰ and 1,48‰ 5,9% and 7,9% died before their 5th birthday. Bilateral spastic CP 2/3limb, preterm birth, cases of post‐neonatal origin, mild and sever functional impairment; weight and height percentile <3 at 5 years old Increased in 2001. Decreased dyskinetic CP, anoxia and some additional imparments. Were identified among other the association between prematurity and spastic bilateral CP‐2/3 members; born at term and anoxia, dyskinetic CP, first child, associated impairments and severity; prenatal infection and IQ<50, epilepsy and severity; post‐neonatal cause and spastic bilateral CP‐4 members and associated impairments. At 5‐years‐old the more explanatory variables for not be in a school inclusive settings were IQ<50 and epilepsy, a high percentage of children with moderate/severe CP was attending regular school, but most children who were out of inclusive settings at 5 years continue on this situations at 10‐years‐old. At this age the more explanatory variables for not be in a school inclusive settings were: IQ<50 and upper limb function; 35,1% were out of regular school; 4,5%, even in compulsory school age, are out of school. Standardized comprehensive, objective, simple and accessible information about CP new cases, risk factors, prevalence in the key‐age and children multidimensional characterization constitutes a clinical and epidemiological tool that should sustain health, educational and social policy. This would support the continuity of these children in regular schools, encouraging g them and their families in these processes.

Using children’s literature in ELT: A story-based approach

There has been a growing interest in the role of children’s literature in language teaching since the 80s, when the communicative approach made it possible to bring stories into the classroom (Garvie, 1990). It is undeniable that storytelling has many benefits. Not only are children naturally drawn to stories, but they are also an effective and enjoyable way to teach and learn. This article presents the findings of a MA project on using stories with children. It shows the importance of stories on language acquisition and concludes with some practical suggestions based on my teaching experience with young learners.