Thesis (M.S.)--University of Texas at El Paso, 2008. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.

Thesis (M.S.)--West Virginia University, 1999. / Title from document title page. Document formatted into pages; contains x, 137 p. : ill., map Vita. Includes abstract. Includes bibliographical references (p. 99-107).

Thesis (M. S.)--Florida State University, 2005. / Advisor: Dr. An-I Andy Wang, Florida State University, College of Arts and Sciences, Dept. of Computer Science Title and description from dissertation home page (viewed Sept. 15, 2005). Document formatted into pages; contains xi, 71 pages. Includes bibliographical references.

Orientador: Fernando Pinhabel Marafão / Coorientador: Wesley Angelino de Souza / Banca: Andre Augusto Ferreira / Banca: Eduardo Paciência Godoy / Resumo: Este trabalho apresenta o desenvolvimento de um medidor cognitivo de energia elétrica, enfatizando sua aplicação para avaliação da eficiência energética e consumo padrão de eletrodomésticos classificados pelo PROCEL e de acordo com a Etiqueta Nacional de Conservação de Energia. Para tal, é proposta uma metodologia de desagregação do consumo de energia que possibilita estimar o consumo individual de cada eletrodoméstico em uma residência. Os eletrodomésticos são classificados e identificados a partir de indicadores que caracterizam a operação de um equipamento, sendo calculados através das formas de onda de tensão e corrente e da Teoria de Potência Conservativa (CPT). Com isso, foi criada uma base de dados composta por indicadores de diversos eletrodomésticos para que se pudesse identificá-los a partir do algoritmo K-enésimo vizinho mais próximo (KNN). Tendo em vista o engajamento do consumidor residencial em relação aos seus hábitos de consumo, o trabalho proposto faz uso do medidor cognitivo de energia elétrica para fornecer recomendações e diagnósticos sobre os eletrodomésticos utilizados na residência. Por fim, o teste do protótipo possibilitou validar a metodologia proposta, estabelecendo um novo conceito e aplicação de medidores inteligentes de energia. / Abstract: This work presents the development of a cognitive energy meter, emphasizing its application to evaluate the energy efficiency and standard appliances consumption classified by PROCEL and according to the National Energy Efficiency Labeling. For this purpose, an energy consumption disaggregation methodology is proposed, which makes possible to estimate the individual consumption of each appliance in a house. Appliances are classified and identified by indicators that characterize the operation of an equipment, being calculated through voltage and current waveforms and by the Conservative Power Theory (CPT). Thus, a database composed of indicators of several household appliances was created so that they could be identified using the K-nth nearest neighbor (KNN) algorithm. Considering the engagement of the residential consumer in relation to their consumption habits, the proposed work makes the use of the cognitive energy meter to provide recommendations and diagnoses about the appliances used in the residence. Finally, the prototype validated the proposed methodology, establishing a new concept and application of smart energy meters. / Mestre

Thesis (PhD (Electrical Engineering))--Potchefstroom University, 1993. / The domestic sector is one of the largest users of nett energy in the RSA (24%, excluding energy used for transport), but it accounts for only 14% of the electrical energy used in the RSA. There is a very strong correlation between the time of the peak of the load for the domestic sector and the time of the peak of the national load. The domestic load is the largest contributor to the peak of the national load. This makes the domestic load more important than is generally realised. Only limited research has been done about the ways in which domestic energy is used in South Africa. Developed countries, such as the United States of America, are continuously engaged in end-use load research, so they have vast data banks available on domestic end-uses of electricity. Data on domestic end-use of electricity are urgently needed especially for South Africa with its very fast growing newly urbanised sector. Since most energy sources are not replenishable, ways and means must be found to promote the wise and effective use of all forms of energy. Effective use of energy can only be promoted if the ways in which electricity is used are known. In this dissertation the electrical energy requirements of the South African domestic sector are analyzed for the present situation and for the next few decades. A model is developed to represent the electrical load. The model has subsections representing the components of the national domestic electrical load, concentrating on electrical energy for domestic water heating, with responses to factors such as: * population growth, * urbanisation, * electrification, * energy efficiency of appliances, * consumer awareness of energy conservation. The model is to be used for scenario planning of the electrical grid. The results of this study will assist to ensure effective planning of the electrical grid of South Africa into the next century.

Orientador: José Antonio Siqueira Dias / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-17T01:41:45Z (GMT). No. of bitstreams: 1 Zambianco_JoseDouglasBertazzoni_M.pdf: 9119202 bytes, checksum: 1528fa36f62f343ceab5d63f4d9c113f (MD5) Previous issue date: 2010 / Resumo: O setor elétrico vem buscando cada vez mais a melhoria da qualidade dos serviços prestados a seus consumidores. Dessa forma, há uma necessidade de entender o consumo elétrico de cada cliente, onde o perfil individualizado pode trazer informações importantes quanto a utilização da energia elétrica, tornando possível a melhoria constante para melhor atender este consumidor. Neste trabalho, é apresentado um projeto, seu desenvolvimento e implementação de uma rede de sensores monitorando o consumo de cada ponto de uma casa, considerando tomadas, lâmpadas e chuveiros afim de trazer a porcentagem de uso de cada ponto de consumo. / Abstract: The electrical segment is always looking for better quality of services offered to customers. There is a demand of understand the consuption of electrical energy by each customer, it can bring an individualized profile that can show important informations related to the energy usage and how make it better. This works presents a project design, the development and implementation of a sensors network monitoring the power consuption of each point of a house, considering wall sockets, jack, electrical shower and lamps to take the percentage of each point usage. / Mestrado / Eletrônica, Microeletrônica e Optoeletrônica / Mestre em Engenharia Elétrica

No description available.

Energy demand forecasting, and specifically electricity demand forecasting, is a fun-damental feature in both industry and research. Forecasting techniques assist all electricity market participants in accurate planning, selling and purchasing decisions and strategies. Generation and distribution of electricity require appropriate, precise and accurate forecasting methods. Also accurate forecasting models assist producers, researchers and economists to make proper and beneficial future decisions. There are several research papers, which investigate this fundamental aspect and attempt var-ious statistical techniques. Although weather and economic effects have significant influences on electricity demand, in this study they are purposely eliminated from investigation. This research considers calendar-related effects such as months of the year, weekdays and holidays (that is, public holidays, the day before a public holiday, the day after a public holiday, school holidays, university holidays, Easter holidays and major religious holidays) and includes university exams, general election days, day after elections, and municipal elections in the analysis. Regression analysis, cate-gorical regression and auto-regression are used to illustrate the relationships between response variable and explanatory variables. The main objective of the investigation was to build forecasting models based on this calendar data only and to observe how accurate the models can be without taking into account weather effects and economic effects, hence weather neutral models. Weather and economic factors have to be forecasted, and these forecasts are not so accurate and calendar events are known for sure (error-free). Collecting data for weather and economic factors is costly and time consuming, while obtaining calendar data is relatively easy.

Orientador: Pedro Magalhães Sobrinho / Co-orientador: Teófilo Miguel de Souza / Banca: José Alexandre Matelli / Banca: Márcio Evaristo da Silva / Resumo : A eficiência energética aos poucos vai ganhando espaço nas indústrias, em função da redução dos custos de produção, pela política de sustentabilidade e de preocupação ambiental empregada atualmente. As indústrias de bebidas, como a que o trabalho foi implantado, utilizam muito o sistema de refrigeração e o de ar comprimido. Praticamente 50% do consumo destas fábricas são em função destas utilidades. O objetivo desta dissertação foi desenvolver uma metodologia para ser usada como ferramenta na identificação de oportunidades de redução do consumo de energia em sistemas de refrigeração e ar comprimido. A metodologia desenvolvida foi baseada em conceitos de refrigeração e ar comprimido e, em alguns estudos de casos de eficiência energética implantados em algumas unidades fabris. Este trabalho mostra como esta metodologia foi criada para melhorar a eficiência energética de sistemas de refrigeração e de ar comprimido. Posteriormente esta metodologia foi utilizada em outras unidades desta mesma indústria para reduzir o consumo de energia elétrica. Inicialmente há uma breve descrição dos principais componentes destes sistemas e de conceitos que ajudam na melhoria da eficiência deles. Por fim, são apresentadas algumas boas práticas e projetos implementados que ajudaram na criação da ferramenta ou foram implementados a partir do uso dela. Os resultados do trabalho mostram a ferramenta pronta para ser usada e uma redução do consumo de energia elétrica de mais de 37 GWh/ano, que significam mais de R$ 6.000.000,00 por ano. A principal conclusão desta dissertação é que a metodologia foi criada e, independente do tipo de configuração destes dois sistemas, é possível utilizá-la para melhorá-los / Abstract: Energy efficiency is slowly gaining ground in the industry, especially due to the cost reduction in the production process its present, also to the sustainability policy and environmental concern employed nowadays. Beverage industries use cooling system and compressed air system a lot. Almost 50% of the electricity consumption in these plants refers to those utilities. The objective of this dissertation was to develop a methodology that can be used as a tool for identifying opportunities to reduce energy consumption in those cooling and compressed air systems. The methodology was based on concepts of cooling and compressed air, and also in some case studies in which energy efficiency was implemented in beverage plants. This dissertation shows how this methodology was created to improve the energy efficiency in cooling and air compressed systems. Later this methodology was used in other plants of the same company in which the case study was done to reduce electricity consumption. The study starts with a short description of the main components of these systems and concepts that help to improve their efficiency. And concludes with some good practices operation and projects implemented, which helped to develop the tool or have been implemented using it. The outcome shows that the tool is ready for use and that there is an important reduction in electricity consumption, amount to more than 37 GWh / year, which means more than R$ 6,000,000.00 a year. The main conclusion of this dissertation is that methodology was developed and it is possible to use the methodology to improve the cooling and air compressed systems, apart from the configuration and automation of the equipments in the plant / Mestre

A research report submitted to the Faculty of Science, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Science May 23, 2017 / The aim of this study was to investigate the relationship and direction between electricity consumption and gross domestic product including energy infrastructure as a third variable in South Africa using the time series data from 1993 to 2015. The relationship was modelled in South Africa focusing on the industry sectors that influence economic growth and using techniques such as ARIMA model, Multivariate Regression Analysis, Vector Autoregressive and Granger Causal Test. The Vector Autoregressive model performed better than Multivariate Regression analysis in modelling the relationship between consumption and economic growth in South Africa. The Granger causal effect illustrated a direction from consumption to economic growth and again Granger cause effect from infrastructure to economic growth. The results from these models revealed that there was a relationship between electricity consumption and economic growth, as well as electricity infrastructure. South Africa supports a growth hypothesis meaning that South Africa is energy dependent. The results of the study signals that the electricity consumption of South Africa have an effect on the economic growth. / MT 2017