Multi-agent Simulation of Bilateral Contracting in Competitive Electricity Markets

Traditional vertically integrated power utilities around the world have evolved from monopoly structures to open markets that promote competition among suppliers and provide consumers with a choice of services. Market forces drive the price of electricity and reduce the net cost through increased competition. Electricity can be traded in both organized markets or using forward bilateral contracts. This article focuses on bilateral contracts and describes some important features of an agent-based system for bilateral trading in competitive markets. Special attention is devoted to the negotiation process, demand response in bilateral contracting, and risk management. The article also presents a case study on forward bilateral contracting: a retailer agent and a customer agent negotiate a 24h-rate tariff.

Realistic Multi-Agent Simulation of Competitive Electricity Markets

The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by the huge increase in competitiveness, create the need of using simulation platforms to support operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents an enhanced electricity market simulator, based on multi-agent technology, which provides an advanced simulation framework for the study of real electricity markets operation, and the interactions between the involved players. MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) uses real data for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations bring to different countries. Also, the development of an upper-ontology to support the communication between participating agents, provides the means for the integration of this simulator with other frameworks, such as MAN-REM (Multi-Agent Negotiation and Risk Management in Electricity Markets). A case study using the enhanced simulation platform that results from the integration of several systems and different tools is presented, with a scenario based on real data, simulating the MIBEL electricity market environment, and comparing the simulation performance with the real electricity market results.

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.

Distributed Intelligent Management of Microgrids using a Multi-Agent Simulation Platform

Multi-agent approaches have been widely used to model complex systems of distributed nature with a large amount of interactions between the involved entities. Power systems are a reference case, mainly due to the increasing use of distributed energy sources, largely based on renewable sources, which have potentiated huge changes in the power systems’ sector. Dealing with such a large scale integration of intermittent generation sources led to the emergence of several new players, as well as the development of new paradigms, such as the microgrid concept, and the evolution of demand response programs, which potentiate the active participation of consumers. This paper presents a multi-agent based simulation platform which models a microgrid environment, considering several different types of simulated players. These players interact with real physical installations, creating a realistic simulation environment with results that can be observed directly in the reality. A case study is presented considering players’ responses to a demand response event, resulting in an intelligent increase of consumption in order to face the wind generation surplus.

Positive Epistasis Drives the Acquisition of Multidrug Resistance

The evolution of multiple antibiotic resistance is an increasing global problem. Resistance mutations are known to impair fitness, and the evolution of resistance to multiple drugs depends both on their costs individually and on how they interact-epistasis. Information on the level of epistasis between antibiotic resistance mutations is of key importance to understanding epistasis amongst deleterious alleles, a key theoretical question, and to improving public health measures. Here we show that in an antibiotic-free environment the cost of multiple resistance is smaller than expected, a signature of pervasive positive epistasis among alleles that confer resistance to antibiotics. Competition assays reveal that the cost of resistance to a given antibiotic is dependent on the presence of resistance alleles for other antibiotics. Surprisingly we find that a significant fraction of resistant mutations can be beneficial in certain resistant genetic backgrounds, that some double resistances entail no measurable cost, and that some allelic combinations are hotspots for rapid compensation. These results provide additional insight as to why multi-resistant bacteria are so prevalent and reveal an extra layer of complexity on epistatic patterns previously unrecognized, since it is hidden in genome-wide studies of genetic interactions using gene knockouts.

A historical perspective and prospects of biomedical research on parasitic diseases

We all hope that biotechnology will answer some social and economical unavoidable requirements of the modern life. It is necessary to improve agriculture production, food abundance and health quality in a sustainable development. It is indeed a hard task to keep the progress on taking into account the rational use of genetic resources and the conservation of biodiversity. In this context, a historical perspective and prospects of the biomedical research on parasitic diseases is described in a view of three generations of investigators. This work begins with a picture of the scientific progress on biomedical research and human health over the last centuries. This black-and-white picture is painted by dissecting current advancements of molecular biology and modern genetics, which are outlined at the meaning of prospecting achievements in health science for this new millenium.

Vir sapiens dominabitur astris: astrological knowledge and practices in the Portuguese medieval court (king João I to king Afonso V)

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em História Medieval

The patient safety journey in Portugal : challenges and opportunities from a public health perspective

ABSTRACT - Despite improvements in healthcare interventions, the incidence of adverse events and other patient safety problems constitutes a major contributor to the global burden of diseases and a concern for Public Health. In the last years there have been some successful individual and institutional efforts to approach patient safety issues in Portugal, unless such effort has been fragmented or focused on specific small areas. Long-term and global improvement has remained elusive, and most of all the improvement of patient safety in Portugal, must evaluate not only the efficacy of a change but also what was effective for implementing the change. Clearly, patient safety issues result from various combinations of individual, team, organization, system and patient factors. A systemic and integrated approach to promote patient safety must acknowledge and strive to understand the complexity of work systems and processes in health care, including the interactions between people, technology, and the environment. Safety errors cannot be productively attributed to a single human error. Our objective with this paper is to provide a brief overview of the status quo in patient safety in Portugal, highlighting key aspects that should be taken into account in the design of a strategy for improving patient safety. With these key aspects in mind, policy makers and implementers can move forward and make better decisions about which changes should be made and about the way the needed changes to improve patient safety should be implemented. The contribution of colleagues that are international leaders on healthcare quality and patient safety may also contribute to more innovative research methods needed to create the knowledge that promotes less costly successful changes.---- ---------------------- RESUMO – As questões relacionadas com a Segurança do Doente, e em particular, com a ocorrência de eventos adversos tem constituído, de há uns tempos a esta parte, uma crescente preocupação para as organizações de saúde, para os decisores políticos, para os profissionais de saúde e para os doentes/utentes e suas famílias, sendo por isso considerado um problema de Saúde Pública a que urge dar resposta. Em Portugal, nos últimos anos, têm sido desenvolvidos esforços baseados, maioritariamente, em iniciativas isoladas, para abordar os aspectos da Segurança do Doente. O facto de essas iniciativas não serem integradas numa estratégia explícita e de dimensão regional ou nacional, faz com que os resultados sejam parcelares e tenham visibilidade reduzida. Paralelamente, a melhoria da qualidade dos cuidados de saúde (a longo prazo) resultante dessas iniciativas tem sido esparsa e nem sempre a avaliação tem sido feita tendo em conta critérios de efectividade e de eficiência. A Segurança do Doente resulta da interacção de diversos factores relacionados, por um lado, com o doente e, por outro, com a prestação de cuidados que envolvem elementos de natureza individual (falhas activas) e organizacional/estrutural (falhas latentes). Devido à multifactorialidade que está na base de «problemas/falhas» na Segurança do Doente, qualquer abordagem a considerar deve ser sistémica e integrada. Simultaneamente, tais abordagens devem contemplar a compreensão da complexidade dos sistemas e dos processos de prestação de cuidados de saúde e as suas interdependências (envolvendo aspectos individuais, tecnológicos e ambientais). O presente trabalho tem por objectivo reflectir sobre o «estado da arte» da Segurança do Doente em Portugal, destacando os elementos-chave que se consideram decisivos para uma estratégia de acção nesse domínio. Com esses elementos os responsáveis pela governação da saúde poderão valorizar os aspectos que consideram decisivos para uma política de Segurança do Doente mais eficaz. A contribuição de quatro colegas internacionalmente reconhecidos como líderes na área da Qualidade em Saúde e da Segurança do Doente, constitui, por certo, uma oportunidade ímpar para a identificação e discussão de alguns dos principais desafios, ameaças e oportunidades que s

A framework for memory contention analysis in multi-core platforms

The last decade has witnessed a major shift towards the deployment of embedded applications on multi-core platforms. However, real-time applications have not been able to fully benefit from this transition, as the computational gains offered by multi-cores are often offset by performance degradation due to shared resources, such as main memory. To efficiently use multi-core platforms for real-time systems, it is hence essential to tightly bound the interference when accessing shared resources. Although there has been much recent work in this area, a remaining key problem is to address the diversity of memory arbiters in the analysis to make it applicable to a wide range of systems. This work handles diverse arbiters by proposing a general framework to compute the maximum interference caused by the shared memory bus and its impact on the execution time of the tasks running on the cores, considering different bus arbiters. Our novel approach clearly demarcates the arbiter-dependent and independent stages in the analysis of these upper bounds. The arbiter-dependent phase takes the arbiter and the task memory-traffic pattern as inputs and produces a model of the availability of the bus to a given task. Then, based on the availability of the bus, the arbiter-independent phase determines the worst-case request-release scenario that maximizes the interference experienced by the tasks due to the contention for the bus. We show that the framework addresses the diversity problem by applying it to a memory bus shared by a fixed-priority arbiter, a time-division multiplexing (TDM) arbiter, and an unspecified work-conserving arbiter using applications from the MediaBench test suite. We also experimentally evaluate the quality of the analysis by comparison with a state-of-the-art TDM analysis approach and consistently showing a considerable reduction in maximum interference.

Trade-Off Performance Regions of Slotted ALOHA Protocol using Multi-Objective Optimization

10th Conference on Telecommunications (Conftele 2015), Aveiro, Portugal.

A Random Access Protocol incorporating Multi-Packet Reception, Retransmission Diversity and Successive Interference Cancellation

8th International Workshop on Multiple Access Communications (MACOM2015), Helsinki, Finland.

Multi-Objective and Financial Portfolio Optimization of Carrier-Sense Multiple Access Protocols with Cooperative Diversity

8th International Workshop on Multiple Access Communications (MACOM2015), Helsinki, Finland.

System Level Simulation and Radio Resource Management for Distributed Antenna Systems with Cognitive Radio and Multi-Cell Cooperation

4th International Conference on Future Generation Communication Technologies (FGCT 2015), Luton, United Kingdom.

A Multi-DAG Model for Real-Time Parallel Applications with Conditional Execution

The 30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015). 13 to 17, Apr, 2015, Embedded Systems. Salamanca, Spain.