Michael David de Souza Dutra

Universidade Federal de Goiás | UFG · Inudustrial Engineering

Smart homes have the potential to achieve optimal energy consumption with appropriate scheduling. The control of smart appliances can be based on optimization models, which should be realistic and efficient. However, increased realism also implies an increase in solution time. Many of the optimization models in the literature have limitations on th...

Smart homes have the potential to achieve efficient energy consumption: households can profit from appropriately scheduled consumption. By 2020, 35% of all households in North America and 20% in Europe are expected to become smart homes. Developing a smart home requires considerable investment, and the householders expect a positive return. In this...

Smart homes have the potential to achieve efficient energy consumption: households can profit from appropriately scheduled consumption. By 2020, 35% of all households in North America and 20% in Europe are expected to become smart homes. Developing a smart home requires considerable investment, and the householders expect a positive return. In this...

This paper proposes a two-phase optimization framework for users that are involved in demand response programs. In a first phase, responsive users optimize their own household consumption, characterizing not only their appliances and equipment but also their comfort preferences. Subsequently, the aggregator exploits in a second phase this prelimina...

Resumo O Brasil como signatário da Convenção Internacional de Proteção dos Vegetais internalizou as Normas Internacional para Medidas Fitossanitárias n. o 15, que regulamenta o tratamento e inspeção de material de embalagem de madeira empregados no comércio internacional. De competência da fiscalização do Ministério da Agricultura, Pecuária e Abast...

Casas inteligentes são uma tendência mundial. Elas permitem o uso otimizado de energia, permitindo que as famílias reduzam as contas de eletricidade ou até lucrem. O número de residências inteligentes nos EUA e no Reino Unido atingiu 40,3 milhões e 5,3 milhões, respectivamente, em 2018. Até 2024, 53,1% de todos os lares nos EUA e 39% no Reino Unido...

Smart homes allow optimized energy usage, allowing households to reduce electricity bills or even make profits. By 2020, 20% of all households in Europe and 35% in North America will be expected to become smart homes. Although smart homes seem to be the future for homes, many customers have the perception that a transition from current homes to sma...

The aim of this study is to develop a solution to the problem of distribution of goods proposed by the Mathematical Competitive Game 2017-2018, jointly organized by the French Federation of Mathematical Games and Mathematical Modelling Company. Referred to as a production-inventory-distribution-routing problem (PIDRP), it is an NP-hard combinatoria...

This paper proposes an optimization framework for retailers that are involved in demand response (DR) programs. In a first phase responsive users optimize their own household consumption , characterizing not only their smart home components but also their comfort preferences. Then, the retailer exploits in a second phase this preliminary non-coordi...

In demand-response programs, aggregators balance the needs of generation companies and end-users. This work proposes a two-phase framework that shaves the aggregated peak loads while maintaining the desired comfort level for users. In the first phase, the users determine their planned consumption. For the second phase, this work presents a bilevel...

This paper studies the problem of materializing views for a database stored in the cloud, in order to improve the response time of queries on the database under a budget limit. Views are subsets of the database, also stored in the cloud, that act like caches to accelerate the access to data. In a cloud, CPU usage and data storage have to be paid...