abstract: Commercial buildings in the United States account for 19% of the total energy consumption annually. Commercial Building Energy Consumption Survey (CBECS), which serves as the benchmark for all the commercial buildings provides critical input for EnergyStar models. Smart energy management technologies, sensors, innovative demand response programs, and updated versions of certification programs elevate the opportunity to mitigate energy-related problems (blackouts and overproduction) and guides energy managers to optimize the consumption characteristics. With increasing advancements in technologies relying on the ‘Big Data,' codes and certification programs such as the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), and the Leadership in Energy and Environmental Design (LEED) evaluates during the pre-construction phase. It is mostly carried out with the assumed quantitative and qualitative values calculated from energy models such as Energy Plus and E-quest. However, the energy consumption analysis through Knowledge Discovery in Databases (KDD) is not commonly used by energy managers to perform complete implementation, causing the need for better energy analytic framework. The dissertation utilizes Interval Data (ID) and establishes three different frameworks to identify electricity losses, predict electricity consumption and detect anomalies using data mining, deep learning, and mathematical models. The process of energy analytics integrates with the computational science and contributes to several objectives which are to 1. Develop a framework to identify both technical and non-technical losses using clustering and semi-supervised learning techniques. 2. Develop an integrated framework to predict electricity consumption using wavelet based data transformation model and deep learning algorithms. 3. Develop a framework to detect anomalies using ensemble empirical mode decomposition and isolation forest algorithms. With a thorough research background, the first phase details on performing data analytics on the demand-supply database to determine the potential energy loss reduction potentials. Data preprocessing and electricity prediction framework in the second phase integrates mathematical models and deep learning algorithms to accurately predict consumption. The third phase employs data decomposition model and data mining techniques to detect the anomalies of institutional buildings. / Dissertation/Thesis / Doctoral Dissertation Civil, Environmental and Sustainable Engineering 2017

Made available in DSpace on 2016-03-15T19:22:30Z (GMT). No. of bitstreams: 1 Leticia Soares Daniel.pdf: 10098963 bytes, checksum: 113cc7db737bd8297afe1f3c28f15ca4 (MD5) Previous issue date: 2014-09-24 / The present work is a dissertation conducted in the Post-Graduate Mackenzie University and is titled Building modern architecture in Teresina: reflections of an migrant architect. It deals with the analysis of three modern institutional buildings, projects of the architect of Minas Gerais Antonio Luiz Dutra de Araújo in the city of Teresina, Piauí. The three buildings are: Cepisa Building (1973), Headquarters of the Ministry of Finance (1973) and the Palace of Trade Building (1977). The architect had a wide and heterogeneous architectural production in the state, working with different scales and types, and he is considered one of the pioneers to use the modern language in their designs in the capital of Piauí. Such copies bear a relation between the way of designing architect and the limiting factors of a town in early modernization. Initially, this work describes a history of modern architecture in Teresina, framing characters and some important works in the city. Subsequently attention is given to the career of Antonio Luiz and to submitting copies of projetual expressive, quality of his work. The last three chapters are the systematic analysis of each chosen as the object of study building. Finally, the conclusions will be made. / O presente trabalho é uma dissertação de mestrado realizada no Programa de Pós- Graduação da Universidade Presbiteriana Mackenzie, intitulado Arquitetura institucional moderna em Teresina: reflexos de um arquiteto migrante. Trata-se da análise de três edifícios institucionais modernos, projetos do arquiteto mineiro Antonio Luiz Dutra de Araújo na cidade de Teresina, Piauí. São eles: Edifício Cepisa (1973), edifício-sede do Ministério da Fazenda (1973) e edifício do Palácio do Comércio (1977). O arquiteto teve uma vasta e heterogênea produção arquitetônica no estado, trabalhando com diversas escalas e tipologias, e é considerado um dos pioneiros ao utilizar a linguagem moderna em seus projetos na capital piauiense. Tais exemplares carregam uma relação entre o modo de projetar do arquiteto e os fatores limitadores de uma cidade nos primórdios de modernização. Inicialmente, realiza-se um histórico da arquitetura moderna em Teresina, enquadrando alguns personagens e obras importantes na cidade. Posteriormente, é dada atenção à trajetória profissional de Antonio Luiz e à apresentação de exemplares de qualidade projetual expressiva, parte de sua obra. Os três últimos capítulos apresentam análises sistemáticas de cada edifício escolhido como objeto de estudo. Por fim, serão realizadas as considerações finais e conclusões.