D. Tech. Electrical Engineering. / Aims of this study is to develop a residential customers' lighting profile ANFIS-based model. This model is expected to address lighting load usage estimation in relation to the dynamic occupancy presence in a residential dwelling, which will take into account the climatic condition (natural lighting) of such an environment (e.g. South Africa) and its income. The objectives are as follows: 1. Develop an ANFIS-based residential lighting load profile model for middle income, low income and high-income earners. 2. Error reduction in residential lighting demand profile model. Performance evaluation and validation of the model using correlation and trend analysis, regression model, South Africa power utility application lighting program, non-weighted approach and comparison with other research studies (methodology).3. Reduction in / or elimination of repeated models for occupant presence and assumptions that residences are occupied at certain periods. 4. Derive meaning from complexities (behavioural trends) associated with lighting usage and extract patterns in such circumstances.

published_or_final_version / Urban Studies / Master / Master of Social Sciences

Eskom is the major electricity supplier in South Africa and medium term forecasting within the company is a critical activity to ensure that enough electricity is generated to support the country's growth, that the networks can supply the electricity and that the revenue derived from electricity consumption is managed efficiently. This study investigates the most suitable forecasting technique for predicting monthly electricity consumption, one year ahead for four major municipalities within Kwa-Zulu Natal. / Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 1997.

Orientador: Oscar Armando Maldonado Astorga / Banca: Durval Luiz Silva Ricciulli / Banca: Pedro da Costa Junior / Resumo: O uso de novas tecnologias em equipamentos e dispositivos de consumo de energia elétrica, vem sendo uma ferramenta cada vez mais utilizada para aumentar a eficiência energética na geração, transporte e distribuição de energia. Mesmo com a crise econômica dos últimos anos, a demanda de energia elétrica tem apresentado um crescimento constante em alguns setores da distribuição, principalmente no consumo de instalações residenciais. Neste tipo de instalação, a introdução de tecnologia LED no sistema de iluminação vem crescendo de forma sistêmica resultando em economia para o consumidor que paga a energia consumida em kWh, sem preocupação com aspectos importantes que o consumidor industrial enfrenta como o baixo fator de potência e a distorção harmônica presente na instalação. Este quadro tende rapidamente a mudar com a instalação, nas residências, dos novos medidores digitais pelas distribuidoras, capazes de medir estes tipos de parâmetros. Atualmente, quando vista do lado do sistema de geração, a economia do consumidor em kWh pode não representar uma economia na geração de energia pois, por tratar-se de cargas não lineares, a relação entre o consumo na instalação e a energia necessária que precisa ser gerada nas Usinas para o seu atendimento, medido em kVA, pode não apresentar a mesma vantagem ou mesmo ser uma desvantagem para o sistema elétrico. Este trabalho tem por objetivo apresentar uma análise da utilização de tecnologia LED na iluminação em instalações residenciais, lev... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The use of new technologies in equipments and power consumption devices, it has been a tool to increase energy efficiency in the generation, transmission, and distribution of energy. Even with the economic crisis of recent years, electricity demand has shown a steady growth in some distribution sectors, especially in the consumer residential. In this type of plant facilities, the use of LED technology in lighting grows systemically resulting in the economy for the residential consumer who pays per kWh, without regard to important aspects that industrial consumers face as a low power factor and harmonic distortion present in the installation. This frame quickly tends to change with home electrical circuits, new digital meters by distributors, capable of measuring such parameters. Currently, from the viewpoint of the power generation system, the consumer economy in kWh may not represent savings in energy production. This assumption is valid because, as it is in non-linear loads the ratio between consumption in the installation and the required power must be provided in plants for your service, measured in kVA, can not present the same advantage or even be a disadvantage to the electrical system. This study aims to present an analysis of the use of LED technology in lighting in residential systems, considering the non-linearity of this new technology and the subsequent introduction in the installation, the increase in electrical losses this may entail. For this purpose, an experimental setup was performed using some of the most common appliances in residential appliances. These devices operate in conjunction with the lighting system. Thus, the outcomes of the different analyses led to considerations for the consumer and the certification agency. The Brazilian utilities are deploying a new digital measurement scenario, and the service clients must observe ... (Complete abstract click electroni access below) / Mestre

Orientador: Luiz Antonio Rossi / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola / Made available in DSpace on 2018-08-11T08:27:55Z (GMT). No. of bitstreams: 1 Velloso_NinaMiglioranza_M.pdf: 2115577 bytes, checksum: a41a9cbebf41a1039131c1d816d64d5e (MD5) Previous issue date: 2008 / Resumo: A importância da suinocultura brasileira no contexto socioeconômico do país é cada vez mais evidente. Por ser uma atividade que gera milhares de empregos anualmente, além de incrementar o produto interno bruto da nação por meio das expressivas exportações da carne suína, cada vez mais atenção é despendida com os requerimentos dos animais. Apesar disso, pouco tem sido pesquisado sobre as exigências de uma categoria em especial, a dos machos reprodutores do plantel, que são extremamente susceptíveis a condições climáticas adversas. Deste modo, torna-se importante a realização de estudos acerca dos requisitos necessários para mantê-los em conforto térmico, visto que são grandes as perdas na produção devido aos dias muito quentes e às grandes amplitudes térmicas. Uma alternativa para minimizar estas perdas é o uso de sistemas de climatização. Este trabalho teve por objetivo avaliar dois grupos de cachaços, grupos A e B, alojados, respectivamente, em instalações climatizadas por meio de sistema automatizado de ventilação artificial e nebulização, e em instalações climatizadas apenas por ventilação artificial e seguindo o manejo de acionamento dos ventiladores já praticado na propriedade. Foram considerados aspectos de desempenho reprodutivo e conforto térmico dos animais e do uso de energia elétrica pelos equipamentos de climatização. O experimento foi conduzido em uma granja comercial localizada na cidade de Capivari/São Paulo, com animais de uma mesma linhagem genética. O parâmetro utilizado na comparação do desempenho reprodutivo dos animais de ambos os grupos foi a análise das características do sêmen, que se relacionam diretamente com a taxa de prenhez das fêmeas. As edificações de alojamento dos animais também foram comparadas, avaliando-se variáveis climáticas, custos operacionais, gastos com equipamentos de climatização e automação, além da utilização da energia elétrica por parte dos mesmos. Os principais resultados obtidos demonstraram que o sistema de climatização automatizado manteve os animais em uma condição ambiental mais segura, porém não houve melhora nos índices de qualidade seminal dos animais deste grupo. Os valores médios de volume seminal e concentração espermática foram superiores nos animais do grupo B. Os impactos no custo mensal da conta de energia elétrica do posto transformador que fornece energia elétrica para a instalação dos cachaços foram de 2,26% e de 4,82%, para os dois meses completos avaliados / Abstract: Swine grow activities in Brazil is exhibiting an increasing importance to the national social economy. The particular attention devoted to the animal physical requirements is strongly supported by the direct and indirect job opportunities generated as well as by the significant swine meet exportation which push the national internal gross product to high levels. In spite of that, little research efforts has been directed to a special animal group identified as the breeding stock reproducing males, which are very susceptible to temperature changes. That information gives support to a deep study on animal thermal comfort, which is strongly associated to production losses and to the thermal amplitude variations. The application of environmental controlling systems aims to minimize these above referred losses. This research work aimed to evaluate two groups of males, named group A and group B, kept under artificial automatic ventilation and nebulization, as well as only under artificial ventilation following the traditional fan operation, respectively. Factors as reproducing performance, animal thermal comfort, as well as electrical energy use by the environment controlling system have been considered. Experimental trials were carried in a swine growing facility located at Capivari, SP, Brazil by employing animals belonging to a same commercial genetic group. Semen characteristics were employed as a factor of comparison, which are associated to the female pregnancy rate. The shelter¿s building of those animals were also compared, by assessing up climatic variables, operating costs, spending on air conditioning equipment and automation, and the use of electric energy by them. The main results showed that the automated system of air conditioning kept the animals in a safer environmental condition, however there was no improvement in seminal quality scores for the animals of this group. The mean values of seminal volume and sperm concentration were higher in the animals of group B. The impacts on the cost of monthly account of electric energy of the post processor, which provides electricity for the installation of males, were 2.26% and 4.82% for the two whole months assessed. / Mestrado / Construções Rurais e Ambiencia / Mestre em Engenharia Agrícola

Orientador: Nancy Lopes Garcia / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica / Made available in DSpace on 2018-08-22T12:21:05Z (GMT). No. of bitstreams: 1 Lenzi_Amanda_M.pdf: 1978923 bytes, checksum: 093900c4de8727a9c79d6afdfb0e3bd4 (MD5) Previous issue date: 2013 / Resumo: Neste trabalho tratamos de um problema de dados funcionais agregados, isto é, combinações lineares de curvas aleatórias que não podem ser observadas individualmente. A análise de curvas de carga de transformadores elétricos em linha de distribuição é uma situação onde tais dados são encontrados. O conjunto de dados consiste de diversas curvas agregadas; assumimos que cada curva individual é a realização de um processo Gaussiano com curva média que é modelada através da expansão em bases B-splines. Além disso, assumimos que os coeficientes também são desconhecidos e temos somente uma estimativa de tais números. Nosso objetivo é utilizar os valores aproximados desses coeficientes, além das curvas agregadas, para estimar o valor real dos coeficientes, a curva típica de cada subpopulação e parâmetros de variância. Para este fim, diferentemente de trabalhos anteriores sobre o tema, propomos a utilização de um modelo de efeitos aleatórios / Abstract: In this paper, we deal with a problem of aggregated functional data, i.e. linear combinations of random curves, which cannot be seen individually. The analysis of load curves of electrical transformers in the distribution line is a situation where those data are found. The data set consists of several aggregated curves; we assume that each individual curve is the realization of a Gaussian process with the mean curve modeled through the expansion in B-splines basis. Furthermore, we assume that the coefficients are also unknown and we have only an estimate of such numbers. Our goal is to use the approximate coefficients and the aggregated curve data to estimate the true coefficients, the typical curve of each subpopulation and variance parameters. For this purpose, unlike previous works on the subject, we propose using a random effects model / Mestrado / Estatistica / Mestra em Estatística

M.Ing. (Engineering Management) / South African power demand has been increasing over the past years due to increase in energy consumption from industrial, commercial and residential sectors. In order to meet the growing power demand Eskom Holdings Limited SOC (Eskom) has implemented a number of initiatives such as the energy efficiency programme, power generating capacity increase and refurbishment of the operational coal fired power stations. Energy efficiency initiatives have been designed to encourage residential, commercial and industrial customers to use energy efficient technologies which consume less energy compare to conventional technologies. Power generating capacity increase programme includes construction of new base and peaking generating power plants (such as Medupi, Kusile and Ingula) and return to service of the old generating plants (such as Camden, Komati and Grootvlei). The refurbishment programme or coal refurbishment involves upgrading of operational coal fired power stations with the objective of extending their life expectancy, improve performance and to ensure compliance to latest safety standards...

Este documento mostra uma interpretação do comportamento do consumo de energia elétrica baseada nos dados numéricos que foram coletados com o uso de contadores de Ah em 38 instalações fotovoltaicas domiciliares. A pesquisa envolveu igual número de famílias de 10 comunidades rurais com diferentes características sócioculturais localizadas nos Estados de São Paulo, Pernambuco e Amazonas, no Brasil, e adicionalmente na região Puno, no Peru. Também se discute diversas questões acerca do consumo de energia elétrica em sistemas fotovoltaicos domiciliares e sua relação com o desenvolvimento socioeconômico. O objetivo principal é propor um procedimento para dimensionar esses sistemas que inclua os múltiplos fatores que foram identificados e que exercem forte influência no comportamento do consumo. Estes foram denominados fatores técnicos, gerenciais, psicológicos, geográficos, demográficos, socioculturais e econômicos. O procedimento proposto leva em conta a constatação resultante da análise estatística dos dados por meio da qual a função de distribuição Gama é a que melhor caracteriza o comportamento desse consumo. Em sua essência, esta função indica que “muitas pessoas consomem pouco e poucas pessoas consomem muito". / This document shows an interpretation of the behavior of the electric energy consumption based on the numerical data collected with the use of Ah meter in 38 solar home systems. The research involved an equal number of families of 10 rural communities with different sociocultural characteristics located in the Brazilian States of São Paulo, Pernambuco and Amazonas, and additionally in the Puno region, in Peru. It also raises several points concerning the electric energy consumption in SHS´s and its relationship with the socioeconomic development. The main objective is to suggest a procedure for the sizing of SHS´s that includes the several factors that were identified and that exert strong influence in the behavior of the consumption. These were called technical, administrative, psychological, geographical, demographical, sociocultural and economic factors. This procedure takes into account the evidence resultant of the statistic analysis of the data by means of which the Gamma distribution function is the one which better characterizes the behavior of this consumption. Essentially, this function indicates that “many people consume little and few people consume much".

Energy consumption in the form of fuel or electricity is ubiquitous globally. Among energy types, electricity is crucial to human life in terms of cooking, warming and cooling of shelters, powering of electronic devices as well as commercial and industrial operations. Therefore, effective prediction of future electricity consumption cannot be underestimated. Notably, repeated imbalance is noticed between the demand and supply of electricity, and this is affected by different weather profiles such as temperature, wind speed, dew point, humidity and pressure of the electricity consumption locations. Effective planning is therefore needed to aid electricity distribution among consumers. Such effective planning is activated by the need to predict future electricity consumption within a short period and the effect of weather variables on the predictions. Although state-of-the-art techniques have been used for such predictions, they still require improvement for the purpose of reducing significant predictive errors when used for short-term load forecasting. This research develops and deploys a near-zero cooperative probabilistic scenario analysis and decision tree (PSA-DT) model to address the lacuna of significant predictive error faced by the state-of-the-art models and to analyse the effect of each weather profile on the cooperative model. The PSA-DT is a machine learning model based on a probabilistic technique in view of the uncertain nature of electricity consumption, complemented by a DT to reinforce the collaboration of the two techniques. Based on detailed experimental analytics on residential, commercial and industrial data loads, the PSA-DT model with weather profiles outperforms the state-of-the-art models in terms of accuracy to a minimal error rate. This implies that its deployment for electricity demand planning will be of great benefit to various smart-grid operators and homes. / School of Computing / M. Sc. (Computer Science)

A central component of modern computing is the idea that computation requires determinism. Contrary to this belief, the primary contribution of this work shows that useful computation can be accomplished in an error-prone fashion. Focusing on low-power computing and the increasing push toward energy conservation, the work seeks to sacrifice accuracy in exchange for energy savings. Probabilistic computing forms the basis for this error-prone computation by diverging from the requirement of determinism and allowing for randomness within computing. Implemented as probabilistic CMOS (PCMOS), the approach realizes enormous energy sav- ings in applications that require probability at an algorithmic level. Extending probabilistic computing to applications that are inherently deterministic, the biased voltage overscaling (BIVOS) technique presented here constrains the randomness introduced through PCMOS. Doing so, BIVOS is able to limit the magnitude of any resulting deviations and realizes energy savings with minimal impact to application quality. Implemented for a ripple-carry adder, array multiplier, and finite-impulse-response (FIR) filter; a BIVOS solution substantially reduces energy consumption and does so with im- proved error rates compared to an energy equivalent reduced-precision solution. When applied to H.264 video decoding, a BIVOS solution is able to achieve a 33.9% reduction in energy consumption while maintaining a peak-signal-to-noise ratio of 35.0dB (compared to 14.3dB for a comparable reduced-precision solution). While the work presented here focuses on a specific technology, the technique realized through BIVOS has far broader implications. It is the departure from the conventional mindset that useful computation requires determinism that represents the primary innovation of this work. With applicability to emerging and yet to be discovered technologies, BIVOS has the potential to contribute to computing in a variety of fashions.