SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers

The implementation of smart homes allows the domestic consumer to be an active player in the context of the Smart Grid (SG). This paper presents an intelligent house management system that is being developed by the authors to manage, in real time, the power consumption, the micro generation system, the charge and discharge of the electric or plug-in hybrid vehicles, and the participation in Demand Response (DR) programs. The paper proposes a method for the energy efficiency analysis of a domestic consumer using the SCADA House Intelligent Management (SHIM) system. The main goal of the present paper is to demonstrate the economic benefits of the implemented method. The case study considers the consumption data of some real cases of Portuguese house consumption over 30 days of June of 2012, the Portuguese real energy price, the implementation of the power limits at different times of the day and the economic benefits analysis.

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.

Intelligent Remuneration and Tariffs for Virtual Power Players

Power systems have been through deep changes in recent years, namely due to the operation of competitive electricity markets in the scope the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles (V2G) and consumers) to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players’ benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart Grid Environment

The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks.

Intelligent decision support systems for collaboration in industrial plants

Dissertação apresentada para obtenção do Grau de Doutor em Sistemas de Informação Industriais, Engenharia Electrotécnica, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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.

An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing

In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

A Methodology for Creating an Adapted Command Language for Driving an Intelligent Wheelchair

Intelligent wheelchairs (IW) are technologies that can increase the autonomy and independence of elderly people and patients suffering from some kind of disability. Nowadays the intelligent wheelchairs and the human-machine studies are very active research areas. This paper presents a methodology and a Data Analysis System (DAS) that provides an adapted command language to an user of the IW. This command language is a set of input sequences that can be created using inputs from an input device or a combination of the inputs available in a multimodal interface. The results show that there are statistical evidences to affirm that the mean of the evaluation of the DAS generated command language is higher than the mean of the evaluation of the command language recommended by the health specialist (p value = 0.002) with a sample of 11 cerebral palsy users. This work demonstrates that it is possible to adapt an intelligent wheelchair interface to the user even when the users present heterogeneous and severe physical constraints.

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets

The energy sector has suffered a significant restructuring that has increased the complexity in electricity market players' interactions. The complexity that these changes brought requires the creation of decision support tools to facilitate the study and understanding of these markets. The Multiagent Simulator of Competitive Electricity Markets (MASCEM) arose in this context, providing a simulation framework for deregulated electricity markets. The Adaptive Learning strategic Bidding System (ALBidS) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM, ALBidS considers several different strategic methodologies based on highly distinct approaches. Six Thinking Hats (STH) is a powerful technique used to look at decisions from different perspectives, forcing the thinker to move outside its usual way of thinking. This paper aims to complement the ALBidS strategies by combining them and taking advantage of their different perspectives through the use of the STH group decision technique. The combination of ALBidS' strategies is performed through the application of a genetic algorithm, resulting in an evolutionary learning approach.

Paraísos cruzados: itinerários simétricos em Carabane, uma ilha turística no Sul do Senegal

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Antropologia: Culturas Visuais

Práticas de gestão de recursos humanos: um estudo na indústria turística em Portugal

O Turismo em Portugal traduz uma das grandes apostas a nível económico e financeiro. Com o aumento da procura no Turismo Português e com a grande competitividade existente é imperativo, que a qualidade e a diferenciação dos produtos e dos serviços seja decisiva para a competitividade de muitos empreendimentos. Tal implica, não só, a prestação de serviços diferenciadores mas também a valorização dos colaboradores no suporte ao crescimento do setor em Portugal, através de um sistema adequado de gestão e desenvolvimento de recursos humanos. Para uma melhoria da performance organizacional, a função recursos humanos tende a assumir nas últimas décadas uma perspetiva estratégica, cujo foco seja no desenvolvimento coerente de práticas de GRH orientadas para a eficácia na performance organizacional e vantagem competitiva, através das pessoas (Bonache, 2010; Esteves, 2009; Guest, 1989; Martins et al., 2013). A Gestão Estratégica de Recursos Humanos (GERH), que emerge na última década do século passado distancia-se da visão quantitativa e coletiva da anterior abordagem - perspetiva de Gestão Tradicional de Recursos Humanos (GTRH). A GERH centrada numa visão mais qualitativa e individual define-se pela posse de competências difíceis de imitar, garantindo-lhe a vantagem competitiva de que necessita para se afirmar no contexto de mercado global atual (Martins et al., 2013). Esta diferenciação conceptual entre ambas as dimensões da GRH conduziu à emergência de diversas práticas de GRH destinadas, por um lado, à adequação e às exigências de curto prazo (através do desenvolvimento de Práticas Tradicionais de GRH), herdadas da dimensão tradicional da GRH e, por outro lado, responder às necessidades de médio e longo prazos, com o objetivo de ajudar as organizações a adaptarem-se às mudanças decorrentes da economia global após 1990 (através do desenvolvimento de Práticas Estratégicas de GRH). É sobre esta perspetiva que este estudo se debruça, tendo como principal objetivo caracterizar quais as práticas de gestão de recursos humanos (PGRH), Estratégicas ou Tradicionais, existentes nos empreendimentos turísticos em Portugal. Procuramos, mais especificamente, (a) identificar as PGRH predominantes nos empreendimentos turísticos em Portugal; (b) conhecer o grau de intervenção que o gestor de RH tem no desenvolvimento dessas PGRH existentes nos empreendimentos turísticos e; (c) caracterizar o estado de desenvolvimento da função de GRH nos empreendimentos turísticos. Para o efeito recorremos à metodologia quantitativa, utilizando o inquérito por questionário. Foram inquiridos 87 responsáveis pela função Recursos Humanos do setor hoteleiro e empreendimentos turísticos do contexto português, via on-line e presencialmente. Os resultados demonstram que as PGRH Estratégicas predominantes são (1) a Comunicação e Partilha de Informação, (2) a Melhoria das Condições de Trabalho (3) e a Participação e Envolvimento dos Trabalhadores. Como PGRH mais Tradicionais os resultados apresentam como principais práticas a (1) Higiene e Segurança no Trabalho, (2) a Contratação (3) e a Formação Profissional. A evidência empírica aponta para o predomínio de um padrão mais tradicional de práticas de GRH desenvolvidas neste setor em Portugal atribuindo ao responsável pela função RH um papel meramente administrativo.

Práticas de gestão de recursos humanos: um estudo na indústria turística em Portugal

O Turismo em Portugal traduz uma das grandes apostas a nível económico e financeiro. Com o aumento da procura no Turismo Português e com a grande competitividade existente é imperativo, que a qualidade e a diferenciação dos produtos e dos serviços seja decisiva para a supervivência de muitos empreendimentos. Não só implica a prestação de serviços mas também a importância dos colaboradores nas organizações, passe a ser valorizada para o crescimento da organização. A análise de questões relacionadas com a Práticas de Recursos Humanos tem vindo a ter uma grande importância no sector organizacional, uma vez que é através delas que se reflete a natureza da organização e a sua consequente vantagem competitiva. Assim, torna-se impreterível que a Gestão de Recursos Humanos seja eficaz e eficiente, baseada em práticas e sistemas diferenciadores no mercado. Isto é, a Gestão de Recursos Humanos trata fundamentalmente a articulação e o ajustamento entre as pessoas que trabalham na organização e as necessidades que esta tem, assegurando a total utilização dos recursos humanos disponíveis (Bilhim, 2007). É sobre estas perspetivas que este estudo se debruça, tendo como principal objetivo caracterizar quais as práticas de gestão de recursos humanos, Estratégicas ou Tradicionais, existentes nos empreendimentos turísticos em Portugal. Os resultados demonstram que as PGRH Estratégicas predominantes são (1) a Comunicação e Partilha de Informação, (2) a Melhoria das Condições de Trabalho (3) e a Participação e Envolvimento dos Trabalhadores. Como PGRH mais Tradicionais os resultados apresentam como principais práticas a (1) Higiene e Segurança no Trabalho, (2) a Contratação (3) e a Formação Profissional.

Human activity recognition for an intelligent knee orthosis

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Comunicar Portugal: as campanhas de promoção turística de 1993 a 2011

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do Grau de Mestre em Ciências da Comunicação, Área de Especialização em Comunicação Estratégica