Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

Energy-efficient MAC protocols for WBANs: Opportunities and challenges

Wireless body area networks (WBANs) are expected to play a significant role in smart healthcare systems. One of the most important attributes of WBANs is to increase network lifetime by introducing novel and low-power techniques on the energy-constrained sensor nodes. Medium access control (MAC) protocols play a significant role in determining the energy consumption in WBANs. Existing MAC protocols are unable to accommodate communication requirements in WBANs. There is a need to develop novel, scalable and reliable MAC protocols that must be able to address all these requirements in a reliable manner. In this special issue, we attracted high quality research and review papers on the recent advances in MAC protocols for WBANs.

Canine visceral leishmaniasis due to Leishmania (L.) infantum chagasi in Amazonian Brazil: comparison of the parasite density from the skin, lymph node and visceral tissues between symptomatic and asymptomatic, seropositive dogs

Canine visceral leishmaniasis (CVL) is recognizable by characteristic signs of disease and is highly lethal. The infection, however, may be quite inapparent in some seropositive dogs, and this has raised the polemic question as to whether or not such animals can be a source of infection for Lutzomyia longipalpis, the vector of American visceral leishmaniasis (AVL). In this study we have examined 51 dogs with acute CVL from an AVL area in Pará State, northern Brazil, and compared the parasite density, amastigotes of Leishmania (L.) infantum chagasi, in the skin, lymph node and viscera of symptomatic with that of nine asymptomatic but seropositive dogs (IFAT-IgG). Post-mortem biopsy fragments of these tissues were processed by immunohistochemistry, using a polyclonal antibody against Leishmania sp. The X² and Mann Whitney tests were used to evaluate the means of infected macrophage density (p < 0.05). There was no difference (p > 0.05) in the skin (10.7/mm² x 15.5/mm²) and lymph node (6.3/mm² x 8.3/mm²), between asymptomatic and symptomatic dogs, respectively. It was higher (p < 0.05), however, in the viscera of symptomatic (5.3/mm²) than it was in asymptomatic (1.4/mm²) dogs. These results strongly suggest that asymptomatic or symptomatic L. (L.) i. chagasi-infected dogs can serve as a source of infection, principally considering the highest (p < 0.05) parasite density from skin (10.7/mm² x 15.5/mm²), the place where the vetor L. longipalpis takes its blood meal, compared with those from lymph node (6.3/mm² x 8.3/mm²) and viscera (1.4/mm²x 5.3/mm²).

Amostragem Adaptativa em Redes de Sensores

Uma nova área tecnológica está em crescente desenvolvimento. Esta área, denominada de internet das coisas, surge na necessidade de interligar vários objetos para uma melhoria a nível de serviços ou necessidades por parte dos utilizadores. Esta dissertação concentra-se numa área específica da tecnologia internet das coisas que é a sensorização. Esta rede de sensorização é implementada pelo projeto europeu denominado de Future Cities [1] onde se cria uma infraestrutura de investigação e validação de projetos e serviços inteligentes na cidade do Porto. O trabalho realizado nesta dissertação insere-se numa das plataformas existentes nessa rede de sensorização: a plataforma de sensores ambientais intitulada de UrbanSense. Estes sensores ambientais que estão incorporados em Data Collect Unit (DCU), também denominados por nós, medem variáveis ambientais tais como a temperatura, humidade, ozono e monóxido de carbono. No entanto, os nós têm recursos limitados em termos de energia, processamento e memória. Apesar das grandes evoluções a nível de armazenamento e de processamento, a nível energético, nomeadamente nas baterias, não existe ainda uma evolução tão notável, limitando a sua operacionalidade [2]. Esta tese foca-se, essencialmente, na melhoria do desempenho energético da rede de sensores UrbanSense. A principal contribuição é uma adaptação do protocolo de redes Ad Hoc OLSR (Optimized Link State Routing Protocol) para ser usado por nós alimentados a energia renovável, de forma a aumentar a vida útil dos nós da rede de sensorização. Com esta contribuição é possível obter um maior número de dados durante períodos de tempo mais longos, aproximadamente 10 horas relativamente às 7 horas anteriores, resultando numa maior recolha e envio dos mesmos com uma taxa superior, cerca de 500 KB/s. Existindo deste modo uma aproximação analítica dos vários parâmetros existentes na rede de sensorização. Contudo, o aumento do tempo de vida útil dos nós sensores com recurso à energia renovável, nomeadamente, energia solar, incrementa o seu peso e tamanho que limita a sua mobilidade. Com o referido acréscimo a determinar e a limitar a sua mobilidade exigindo, por isso, um planeamento prévio da sua localização. Numa primeira fase do trabalho analisou-se o consumo da DCU, visto serem estes a base na infraestrutura e comunicando entre si por WiFi ou 3G. Após uma análise dos protocolos de routing com iv suporte para parametrização energética, a escolha recaiu sobre o protocolo OLSR devido à maturidade e compatibilidade com o sistema atual da DCU, pois apesar de existirem outros protocolos, a implementação dos mesmos, não se encontram disponível como software aberto. Para a validação do trabalho realizado na presente dissertação, é realizado um ensaio prévio sem a energia renovável, para permitir caracterização de limitações do sistema. Com este ensaio, tornou-se possível verificar a compatibilidade entre os vários materiais e ajustamento de estratégias. Num segundo teste de validação é concretizado um ensaio real do sistema com 4 nós a comunicar, usando o protocolo com eficiência energética. O protocolo é avaliado em termos de aumento do tempo de vida útil do nó e da taxa de transferência. O desenvolvimento da análise e da adaptação do protocolo de rede Ad Hoc oferece uma maior longevidade em termos de tempo de vida útil, comparando ao que existe durante o processamento de envio de dados. Apesar do tempo de longevidade ser inferior, quando o parâmetro energético se encontra por omissão com o fator 3, a realização da adaptação do sistema conforme a energia, oferece uma taxa de transferência maior num período mais longo. Este é um fator favorável para a abertura de novos serviços de envio de dados em tempo real ou envio de ficheiros com um tamanho mais elevado.

Providing energy efficiency location-based strategies for buildings using linked open data

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

Impacts of climate change scenarios on terrestrial productivity and biomass for energy in the Iberian Peninsula: assessment through the JSBACH model

Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente, Perfil de Gestão e Sistemas Ambientais

Energy efficiency in energy policy: Empirical evidence of direct rebound effect in Portuguese households' demand for electricity

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

How does household energy consumption contribute to PM10 emissions?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Osmolality of Elemental and Semi-Elemental Formulas Supplemented with Nonprotein Energy Supplements

Elemental and semi-elemental formulas are used to feed infants with short bowel syndrome, who may not be able to tolerate feeds of more than 310 mOsm kg(-1). The present study aimed to measure the osmolality of elemental and semi-elemental formulas at different concentrations, with and without the addition of nonprotein energy supplements.

Acquisition of Horizon Wind Energy by EdP

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Green light for green energy: Growth in spite of crisis

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Determinants of venture capital and private equity investments in renewable energy: A cross-country study

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

A green future for European electricity? :Energy sources, policies and further determinants of the household price of electricity

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Selection of a co-operation agreement between EMOVE – Innovative Technologies and WavEC – Wave Energy Center

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

EDP Renováveis (EDPR): Renewable Energy: Equity Investment Report

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics