Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids

A distributed, agent-based intelligent system models and simulates a smart grid using physical players and computationally simulated agents. The proposed system can assess the impact of demand response programs.

Comparison of contaminant removal effectiveness and air change efficiency as indicator of air diffusion quality.

The ventilation efficiency concept is an attempt to quantify a parameter that can easily distinguish the different options for air diffusion in the building spaces. Thirteen strategies of air diffusion were measured in a test chamber through the application of the tracer gas method, with the objective to validate the calculation by Computational fluid dynamics (CFD). Were compared the Air Change Efficiency (ACE) and the Contaminant Removal Effectiveness (CRE), the two indicators most internationally accepted. The main results from this work shows that the values of the numerical simulations are in good agreement with experimental measurements and also, that the solutions to be adopted for maximizing the ventilation efficiency should be the schemes that operate with low speeds of supply air and small differences between supply air temperature and the room temperature.

Multi-agent system for distributed manufacturing scheduling with genetic algorithms and tabu search

Computerized scheduling methods and computerized scheduling systems according to exemplary embodiments. A computerized scheduling method may be stored in a memory and executed on one or more processors. The method may include defining a main multi-machine scheduling problem as a plurality of single machine scheduling problems; independently solving the plurality of single machine scheduling problems thereby calculating a plurality of near optimal single machine scheduling problem solutions; integrating the plurality of near optimal single machine scheduling problem solutions into a main multi-machine scheduling problem solution; and outputting the main multi-machine scheduling problem solution.

Multi-agent management system for electric vehicle charging

This paper proposes an implementation, based on a multi-agent system, of a management system for automated negotiation of electricity allocation for charging electric vehicles (EVs) and simulates its performance. The widespread existence of charging infrastructures capable of autonomous operation is recognised as a major driver towards the mass adoption of EVs by mobility consumers. Eventually, conflicting requirements from both power grid and EV owners require automated middleman aggregator agents to intermediate all operations, for example, bidding and negotiation, between these parts. Multi-agent systems are designed to provide distributed, modular, coordinated and collaborative management systems; therefore, they seem suitable to address the management of such complex charging infrastructures. Our solution consists in the implementation of virtual agents to be integrated into the management software of a charging infrastructure. We start by modelling the multi-agent architecture using a federated, hierarchical layers setup and as well as the agents' behaviours and interactions. Each of these layers comprises several components, for example, data bases, decision-making and auction mechanisms. The implementation of multi-agent platform and auctions rules, and of models for battery dynamics, is also addressed. Four scenarios were predefined to assess the management system performance under real usage conditions, considering different types of profiles for EVs owners', different infrastructure configurations and usage and different loads on the utility grid (where real data from the concession holder of the Portuguese electricity transmission grid is used). Simulations carried with the four scenarios validate the performance of the modelled system while complying with all the requirements. Although all of these have been performed for one charging station alone, a multi-agent design may in the future be used for the higher level problem of distributing energy among charging stations. Copyright (c) 2014 John Wiley & Sons, Ltd.

Spatial metrics and Landsat data for urban landuse change detection: case of Addis Ababa, Ethiopia.

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Media Brokerage: Agent-Based SLA Negotiation

Media content personalisation is a major challenge involving viewers as well as media content producer and distributor businesses. The goal is to provide viewers with media items aligned with their interests. Producers and distributors engage in item negotiations to establish the corresponding service level agreements (SLA). In order to address automated partner lookup and item SLA negotiation, this paper proposes the MultiMedia Brokerage (MMB) platform, which is a multiagent system that negotiates SLA regarding media items on behalf of media content producer and distributor businesses. The MMB platform is structured in four service layers: interface, agreement management, business modelling and market. In this context, there are: (i) brokerage SLA (bSLA), which are established between individual businesses and the platform regarding the provision of brokerage services; and (ii) item SLA (iSLA), which are established between producer and distributor businesses about the provision of media items. In particular, this paper describes the negotiation, establishment and enforcement of bSLA and iSLA, which occurs at the agreement and negotiation layers, respectively. The platform adopts a pay-per-use business model where the bSLA define the general conditions that apply to the related iSLA. To illustrate this process, we present a case study describing the negotiation of a bSLA instance and several related iSLA instances. The latter correspond to the negotiation of the Electronic Program Guide (EPG) for a specific end viewer.

Adapting Meeting Tools to Agent Decision

Electricity markets are complex environments comprising several negotiation mechanisms. MASCEM (Multi- Agent System for Competitive Electricity Markets) is a simulator developed to allow deep studies of the interactions between the players that take part in the electricity market negotiations. ALBidS (Adaptive Learning Strategic Bidding System) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM it considers several different methodologies based on very distinct approaches. The Six Thinking Hats is a powerful technique used to look at decisions from different perspectives. This paper aims to complement ALBidS strategies usage by MASCEM players, providing, through the Six Thinking Hats group decision technique, a means to combine them and take advantages from their different perspectives. The combination of the different proposals resulting from ALBidS’ strategies is performed through the application of a Genetic Algorithm, resulting in an evolutionary learning approach.

Scenarios Generation for Multi-Agent simulation of Electricity Markets based on Intelligent Data Analysis

This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players’ profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets’ participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents’ profiles and strategies resulting in a better representation of real market players’ behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.

Intelligent Micro Grid Management using a Multi-Agent approach

Recent changes in electricity markets (EMs) have been potentiating the globalization of distributed generation. With distributed generation the number of players acting in the EMs and connected to the main grid has grown, increasing the market complexity. Multi-agent simulation arises as an interesting way of analysing players’ behaviour and interactions, namely coalitions of players, as well as their effects on the market. MASCEM was developed to allow studying the market operation of several different players and MASGriP is being developed to allow the simulation of the micro and smart grid concepts in very different scenarios This paper presents a methodology based on artificial intelligence techniques (AI) for the management of a micro grid. The use of fuzzy logic is proposed for the analysis of the agent consumption elasticity, while a case based reasoning, used to predict agents’ reaction to price changes, is an interesting tool for the micro grid operator.

Virtual Power Players Internal Negotiation and Management in MASCEM

Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in very helpful sophisticated tools. This paper presents a new methodology for the management of coalitions in electricity markets. This approach is tested using the multi-agent market simulator MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), taking advantage of its ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market and internally, with their members in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. A case study using real data from the Iberian Electricity Market is performed to validate and illustrate the proposed approach.

Fisioterapia : influência na qualidade de vida da mulher com cancro da mama : contributo para a qualidade do serviço em oncologia

RESUMO - O cancro da mama é uma preocupação da saúde pública a nível mundial, pela sua incidência, mortalidade e custos económicos associados. As terapias utilizadas no seu tratamento, embora eficazes, conduzem a alterações de todas as dimensões da Qualidade de Vida (QdV) da mulher com cancro da mama. A garantia de uma qualidade de serviço prestado deve ser uma prioridade das organizações de saúde, sendo a QdV uma medida de resultado. Partindo do pressuposto que em Portugal existe uma diferença potencial na forma como as mulheres com cancro da mama recebem o apoio por parte da fisioterapia, importa saber se a fisioterapia tem ou não influência na QdV da mulher com cancro da mama, o que, no caso de ser afirmativo, poderá constituir uma mais-valia para a qualidade do serviço prestado em oncologia. O Objectivo deste trabalho é construir um modelo de análise no sentido de responder à questão inicial de investigação: “Será que a fisioterapia contribui para a melhoria da Qualidade de Vida das mulheres com cancro da mama submetidas a cirurgia e outras terapias oncológicas?”. Neste sentido o trabalho de projecto dividiu-se por etapas. Inicialmente foi realizado um enquadramento teórico, através de uma revisão de literatura e da realização de entrevistas exploratórias, permitindo desta forma ter um conhecimento actual das temáticas que definem as variáveis e o objecto de estudo. Na etapa seguinte, foi feita uma análise crítica sobre o conhecimento actual do tema em estudo, que permitiu definir as variáveis a estudar, escolher o instrumento de medida a utilizar, ter conhecimento dos procedimentos a seguir. Após a definição do objectivo geral (avaliar se a fisioterapia tem influência na QdV das mulheres submetidas a cirurgia e outras terapias oncológicas) e dos objectivos específicos, iniciou-se o delineamento da metodologia tida como adequada para responder às questões de investigação levantadas (tipo de estudo, as variáveis, a unidade de análise, os métodos e técnicas de recolha de dados, os procedimentos e a metodologia de tratamento de dados). No âmbito do trabalho de projecto está definida a colocação em campo de um caso de estudo efectivo que permita dar um contributo real no delineamento da metodologia. Neste trabalho optou-se pela realização de um estudo piloto, que se enquadra nos procedimentos da metodologia e que teve por objectivo retirar algumas conclusões sobre: a aplicabilidade do instrumento de medida; os tempos definidos para a recolha de dados; as características sociodemográficas e clínicas da amostra; as questões de investigação levantadas. O estudo piloto consistiu num estudo pré-experimental, com uma amostra de 35 indivíduos, submetidos a cirurgia a cancro da mama e a outras terapias oncológicas. Foram avaliadas as dimensões do bem-estar físico e actividades quotidianas, bem-estar psicológico, relações sociais, sintomas e características sociodemográficas/clínicas, no início do tratamento individual de fisioterapia e no momento de alta. Utilizou-se como instrumento de medida o questionário EORTC QLQ–30 e o seu questionário complementar EORTC QLQ–23. Tendo sido construída uma ficha para recolha de dados sociodemográficos e clínicos. A significância estatística foi aceite para valores de p<0,05. Para comparação entre grupos e evolução dentro de cada grupo aplicou-se o teste t-student e o teste de Mann-Whitney. A análise dos resultados do estudo piloto permitiu verificar que: - O instrumento de medida proposto (questionário EORTC QLQ30 e BR23) mostrou ser de fácil aplicação, não tendo existido dificuldade por parte das doentes no seu preenchimento. Não houve problemas no cálculo dos scores e na sua interpretação; - Parte considerável das mulheres com cancro da mama será submetida a protocolos que se poderão prolongar por vários meses após a cirurgia (ex: QT+RT+HT). Esta realidade leva-nos a propor que sejam realizados vários momentos de avaliação, para que possam ser avaliadas as dimensões da QdV ao longo dos diferentes protocolos de tratamentos. Pensamos que o ideal seria a realização de 4 momentos de avaliação (3 a 4 semanas após a cirurgia, 3 meses, 6 meses e 9 meses após cirurgia). Sugerimos também que o estudo proposto seja realizado com uma amostra de maior dimensão; - O estudo piloto como recorreu a uma metodologia pré-experimental (ausência de grupo de controlo e apenas dois momentos de avaliação), não permite a consistência dos resultados; no entanto os resultados obtidos podem constituir um indicador de que a fisioterapia tem influência nas diferentes dimensões da QdV da mulher com cancro da mama submetida a cirurgia e a outras terapias oncológicas, podendo constituir uma mais-valia para a qualidade do serviço prestado em oncologia. Os resultados do estudo piloto permitiram redefinir a metodologia tida como adequada para responder à questão de investigação inicial. Apresentamos de seguida a mesma: Estudo quase-experimental, sendo a amostra constituída por dois grupos de 60 mulheres cada, submetidas a cirurgia a cancro da mama e a outras terapias oncológicas. O grupo experimental será submetido a tratamentos individuais de fisioterapia. Serão avaliadas as dimensões do bem-estar físico e actividades quotidianas, bem-estar psicológico, relações sociais e sintomas. A recolha de dados será realizada 3 semanas, 3 meses, 6 meses e 9 meses após a cirurgia. Como instrumento de medida será utilizado o questionário EORTC QLQ–30 e o seu questionário complementar EORTC QLQ–23, serão também recolhidos dados sociodemográficos e clínicos. A significância estatística será aceite para valores de p<0,05. Para comparação entre grupos e evolução dentro de cada grupo serão utilizados testes paramétricos e não paramétricos. A realização de um estudo que seguisse a metodologia acima referida permitiria uma maior consistência dos resultados, podendo eventualmente existir a confirmação de que a fisioterapia pode ter influência na QdV da mulher submetida a cirurgia a cancro da mama e a outras terapias oncológicas. A evidência de que a fisioterapia tem influência na QdV da mulher com cancro da mama, e o facto de a QdV ser um indicador da qualidade do serviço prestado em oncologia, poderão constituir um agente facilitador para a mudança na gestão de recursos humanos em organizações de saúde com a valência de oncologia, levando a uma alteração dos padrões de prática na área da fisioterapia em oncologia em Portugal, que poderá conduzir a uma melhor qualidade de serviço prestado ao doente oncológico. ----- ABSTRACT - Breast Cancer is a worldwide public health concern due to the incidence, mortality and economic costs associated. Although effective, therapies used in its treatment lead to changes in all Quality of Life (QoL) dimensions of a woman suffering from Breast Cancer. QoL is an outcome measure, and the insurance of quality of care provided should be a priority to health organizations. Taking into consideration that in Portugal there is a potential difference in the way women with Breast Cancer are provided with physical therapy, it is important to know whether physical therapy does or does not influence the QoL of women with breast cancer. If it does, it will lead to a health care quality improvement to cancer patients. The goal of the following study is to build an analysis model in order to answer the initial investigation question: “Does Physical Therapy contribute to enhance the Quality of Life of women with breast cancer who underwent surgery and other oncology treatments?” The project was divided in different stages. Initially, a literature revision was elaborated and exploratory interviews were held, which allowed an actual knowledge of the themes that define the variables and the object of study. The next stage included a critical analysis of the theme, which allowed the definition of variables of study, the choice of instrument of measure and the acquisition of some knowledge on how to proceed. After the definition of the general goal (to evaluate the influence of physical therapy on the QoL of women with breast cancer who underwent surgery and other oncology treatments) and specific goals, the choice of a right methodology took place, in order to answer the investigation questions (type of study, variables, unit analysis, methods and techniques on data collection, procedures and data treatment). In the scope of the project, it is decided to put out on the field an effective case-study which assures a real contribution on the choice of te methodology. In this particular work, there was a pilot study, included in the methodology procedures, with the goal of obtaining conclusions on the applicability of the instrument of measure; the length of time to collect data, the socio-demographic and clinical characteristics of the sample; the investigation questions. The pilot study consisted on a one group pretest-postest design, with a sample of 35 individuals who underwent surgery and other oncology treatments. Dimensions such as physical well-being and everyday life activities, psychological well-being, social relationships, symptoms and socio-demographical/clinical characteristics were assessed at the beginning of physical therapy individual treatment and at the moment of release. The instrument of measure used was the EORTC QLQ–30 questionnaire and its complementary questionnaire EORTC QLQ–23. A chart was made in order to collect socio-demographic and clinical data. Statistic significance was accepted for values of p<0,05. To compare between groups and to detect the evolution within each group, the t-student test and the Mann-Whitney test were applied. The outcome analysis of the pilot study allowed to verify that: - The instrument of measure proposed (EORTC QLQ30 and BR23) was easy to apply, and the subjects did not show any difficulty in filling it up. There was also no problem on calculating the scores or interpreting them; - A considerable part of the women with breast cancer will be submitted to protocols that may occur throughout several months after surgery (e.g., QT+RT+HT). This reality leads us to suggest several moments of assessment of the QoL dimensions in various moments of the different protocol treatments. We consider that the ideal number of evaluations would be 4 (3/4 weeks, 3 months, 6 months and 9 months after surgery). We also suggest the use of a larger sample; - Since the pilot study resorted to a one group pretest-postest design (there is an absence of control group and only two moments of assessment), there is no consistency of outcome. However, the results obtained indicate that physical therapy influences the dimensions of QoL on women with breast cancer who underwent surgery and other oncology treatments, which may be an asset to the quality of care provided to cancer patients. The outcome of the pilot study allowed to redefine the methodology given as adequate to answer the initial investigation question. Our suggestion is as follows: quasi-experimental design, with a sample of 120 subjects (2 groups of 60 women) with breast cancer who underwent surgery and other oncology treatments. The experimental group will be submitted to individual treatments of physical therapy. Dimensions such as physical well-being and everyday life activities, psychological well-being, social relationships and symptoms will be assessed. The collection of data will occur at 3 weeks, 3 months, 6 months and 9 months after surgery. The instrument of measure is the EORTC QLQ–30 questionnaire and its complementary questionnaire EORTC QLQ–23, and social-demographic and clinical information will also be collected. The statistic significance will be accepted for values of p<0,05. Parametric and non-parametric tests will be used to compare between groups and to detect the evolution within each group. Carrying out a study that followed the methodology discussed above would allow a better consistency of results, possibly enabling the confirmation that physical therapy influences the QoL of women with breast cancer who underwent surgery and other oncology treatments. The evidence that physical therapy influences the QoL of women with breast cancer, and the fact that QoL is an indicator of quality of care provided to cancer patients, may work as a facilitating agent in the change of human resources management in health organizations associated to oncology, which will lead to a change in oncology physical therapy practice patterns in Portugal, guiding to a health care quality improvement to cancer patients.

Multi-Agent Based Smart Grid Management and Simulation: Situation Awareness and Learning in a Test Bed with Simulated and Real Installations and Players

The rising usage of distributed energy resources has been creating several problems in power systems operation. Virtual Power Players arise as a solution for the management of such resources. Additionally, approaching the main network as a series of subsystems gives birth to the concepts of smart grid and micro grid. Simulation, particularly based on multi-agent technology is suitable to model all these new and evolving concepts. MASGriP (Multi-Agent Smart Grid simulation Platform) is a system that was developed to allow deep studies of the mentioned concepts. This paper focuses on a laboratorial test bed which represents a house managed by a MASGriP player. This player is able to control a real installation, responding to requests sent by the system operators and reacting to observed events depending on the context.

Upper Ontology for Multi-Agent Energy Systems’ Applications

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 three multi-agent systems: MASCEM, which simulates the electricity markets; ALBidS that works as a decision support system for market players; and MASGriP, which simulates the internal operations of smart grids. To take better advantage of these systems, their integration is mandatory. For this reason, is proposed the development of an upper-ontology which allows an easier cooperation and adequate communication between them. Additionally, the concepts and rules defined by this ontology can be expanded and complemented by the needs of other simulation and real systems in the same areas as the mentioned systems. Each system’s particular ontology must be extended from this top-level ontology.