O alisamento dos resultados numa empresa: o caso do Grupo SONANGOL

Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças sob orientação de Professor Doutor Adalmiro Alvaro Malheiro de Castro Andrade Pereira

O enigma do modelo por competência no ensino primário de Moçambique

A implementação efectiva do Modelo por Competência nas instituições da educação constitui um dos maiores desafios do Ministério da Educação e Desenvolvimento Humano. Passa mais do que uma década que os currículos baseados em competência estão sendo implementados no Ensino Primário. Contudo, a qualidade de formação dos alunos nos diferentes ciclos de aprendizagem tem sido reclamada e/ou censurada por diferentes grupos sociais, incluindo professores, pais e encarregados de educação. É neste âmbito que o presente artigo pretende analisar o impacto e efeitos do desenvolvimento de competências na organização curricular moçambicana na qualidade de aprendizagens dos alunos do Ensino Primário do país. Para o efeito, foram eleitos os paradigmas quantitativo e qualitativo, a combinação de métodos bibliográficos, documental e de estudo de caso e ainda de técnicas como entrevista, questionário, observação e testes diagnósticos aplicados sobre uma amostra de (N=908) indivíduos (gestores, professores e alunos. O percurso investigativo permitiu que se chegasse à conclusão de que o modelo por competência está longe de ser implementado efectivamente nas escolas moçambicanas, uma vez que apenas 45% dos cerca de n=112 alunos testados é que desenvolveram as competências prescritas nos programas do Ensino Primário. Este facto deve-se à falta ou deficiente apropriação da filosofia e estratégias exigidas pelo currículo pelos dirigentes, gestores, professores e encarregados de educação, exiguidade de recursos infraestruturais, materiais e meios de ensino para efectiva implementação do currículo do Ensino Primário.

The European challenge of KMN and innovation: a skills and competence portfolio for knowledge worker in SME's

Versão editor: http://www.isegi.unl.pt/docentes/acorreia/documentos/European_Challenge_KM_Innovation_2004.pdf

Virtual power players demand response programs management based on locational marginal prices

Power systems have been suffering huge changes mainly due to the substantial increase of distributed generation and to the operation in competitive environments. Virtual power players can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. Resource management gains an increasing relevance in this competitive context, while demand side active role provides managers with increased demand elasticity. This makes demand response use more interesting and flexible, giving rise to a wide range of new opportunities.This paper proposes a methodology for managing demand response programs in the scope of virtual power players. The proposed method is based on the calculation of locational marginal prices (LMP). The evaluation of the impact of using demand response specific programs on the LMP value supports the manager decision concerning demand response use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 32 bus network with intensive use of distributed generation.

A multi-agent based approach for intelligent smart grid management

The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players’ behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles’ batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.

Contexts-management strategy in considering the security in urban computing based on urban design

Urban Computing (UrC) provides users with the situation-proper information by considering context of users, devices, and social and physical environment in urban life. With social network services, UrC makes it possible for people with common interests to organize a virtual-society through exchange of context information among them. In these cases, people and personal devices are vulnerable to fake and misleading context information which is transferred from unauthorized and unauthenticated servers by attackers. So called smart devices which run automatically on some context events are more vulnerable if they are not prepared for attacks. In this paper, we illustrate some UrC service scenarios, and show important context information, possible threats, protection method, and secure context management for people.

Distribution system operation supported by contextual energy resource management based on intelligent SCADA

Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.