Graph-based algorithms for comparison and prediction of household-level energy use profiles

We present an efficient graph-based algorithm for quantifying the similarity of household-level energy use profiles, using a notion of similarity that allows for small time–shifts when comparing profiles. Experimental results on a real smart meter data set demonstrate that in cases of practical interest our technique is far faster than the existing method for computing the same similarity measure. Having a fast algorithm for measuring profile similarity improves the efficiency of tasks such as clustering of customers and cross-validation of forecasting methods using historical data. Furthermore, we apply a generalisation of our algorithm to produce substantially better household-level energy use forecasts from historical smart meter data.

A refined parametric model for short term load forecasting

Abstract We present a refined parametric model for forecasting electricity demand which performed particularly well in the recent Global Energy Forecasting Competition (GEFCom 2012). We begin by motivating and presenting a simple parametric model, treating the electricity demand as a function of the temperature and day of the data. We then set out a series of refinements of the model, explaining the rationale for each, and using the competition scores to demonstrate that each successive refinement step increases the accuracy of the model’s predictions. These refinements include combining models from multiple weather stations, removing outliers from the historical data, and special treatments of public holidays.

Our changing Sun

Stellar astronomy tells us much about the long-term evolution of our Sun while forensic evidence (for example, cosmic-ray products in ice cores) gives us indications of its fluctuations over the last millennium. However, such studies do not give us a sufficiently detailed understanding of solar change over the last century to allow us to detect and quantify any role that the Sun might have played in the observed rise in average surface temperatures on Earth. This paper describes recent research that has filled this gap by applying advances in our understanding of the effects and structure of the solar wind to historical data on the Earth's magnetic field.

The Hiccup: a dynamical coupling process during the autumn transition in the Northern Hemisphere – similarities and differences to sudden stratospheric warmings

Sudden stratospheric warmings (SSWs) are the most prominent vertical coupling process in the middle atmosphere, which occur during winter and are caused by the interaction of planetary waves (PWs) with the zonal mean flow. Vertical coupling has also been identified during the equinox transitions, and is similarly associated with PWs. We argue that there is a characteristic aspect of the autumn transition in northern high latitudes, which we call the “hiccup”, and which acts like a “mini SSW”, i.e. like a small minor warming. We study the average characteristics of the hiccup based on a superimposed epoch analysis using a nudged version of the Canadian Middle Atmosphere Model, representing 30 years of historical data. Hiccups can be identified in about half the years studied. The mesospheric zonal wind results are compared to radar observations over Andenes (69N,16E) for the years 2000–2013. A comparison of the average characteristics of hiccups and SSWs shows both similarities and differences between the two vertical coupling processes.

The impact of over 80 years of land cover changes on bee and wasp pollinator communities in England

Change in land cover is thought to be one of the key drivers of pollinator declines, and yet there is a dearth of studies exploring the relationships between historical changes in land cover and shifts in pollinator communities. Here, we explore, for the first time, land cover changes in England over more than 80 years, and relate them to concurrent shifts in bee and wasp species richness and community composition. Using historical data from 14 sites across four counties, we quantify the key land cover changes within and around these sites and estimate the changes in richness and composition of pollinators. Land cover changes within sites, as well as changes within a 1 km radius outside the sites, have significant effects on richness and composition of bee and wasp species, with changes in edge habitats between major land classes also having a key influence. Our results highlight not just the land cover changes that may be detrimental to pollinator communities, but also provide an insight into how increases in habitat diversity may benefit species diversity, and could thus help inform policy and practice for future land management.

Observational evidence for a negative shortwave cloud feedback in middle to high latitudes

Exploiting the observed robust relationships between temperature and optical depth in extratropical clouds, we calculate the shortwave cloud feedback from historical data, by regressing observed and modeled cloud property histograms onto local temperature in middle to high southern latitudes. In this region, all CMIP5 models and observational data sets predict a negative cloud feedback, mainly driven by optical thickening. Between 45° and 60°S, the mean observed shortwave feedback (−0.91 ± 0.82 W m−2 K−1, relative to local rather than global mean warming) is very close to the multimodel mean feedback in RCP8.5 (−0.98 W m−2 K−1), despite differences in the meridional structure. In models, historical temperature-cloud property relationships reliably predict the forced RCP8.5 response. Because simple theory predicts this optical thickening with warming, and cloud amount changes are relatively small, we conclude that the shortwave cloud feedback is very likely negative in the real world at middle to high latitudes.

PedVis: A Structured, Space-Efficient Technique for Pedigree Visualization

Public genealogical databases are becoming increasingly populated with historical data and records of the current population`s ancestors. As this increasing amount of available information is used to link individuals to their ancestors, the resulting trees become deeper and more dense, which justifies the need for using organized, space-efficient layouts to display the data. Existing layouts are often only able to show a small subset of the data at a time. As a result, it is easy to become lost when navigating through the data or to lose sight of the overall tree structure. On the contrary, leaving space for unknown ancestors allows one to better understand the tree`s structure, but leaving this space becomes expensive and allows fewer generations to be displayed at a time. In this work, we propose that the H-tree based layout be used in genealogical software to display ancestral trees. We will show that this layout presents an increase in the number of displayable generations, provides a nicely arranged, symmetrical, intuitive and organized fractal structure, increases the user`s ability to understand and navigate through the data, and accounts for the visualization requirements necessary for displaying such trees. Finally, user-study results indicate potential for user acceptance of the new layout.

Implementation and role of device management Solutions to the end users

This research is based on consumer complaints with respect to recently purchased consumer electronics. This research document will investigate the instances of development and device management as a tool used to aid consumer and manage consumer’s mobile products in order to resolve issues in or before the consumers is aware one exists. The problem at the present time is that mobile devices are becoming very advanced pieces of technology, and not all manufacturers and network providers have kept up the support element of End users. As such, the subject of the research is to investigate how device management could possibly be used as a method to promote research and development of mobile devices, and provide a better experience for the consumer. The wireless world is becoming increasingly complex as revenue opportunities are driven by new and innovative data services. We can no longer expect the customer to have the knowledge or ability to configure their own device. Device Management platforms can address the challenges of device configuration and support through new enabling technologies. Leveraging these technologies will allow a network operator to reduce the cost of subscriber ownership, drive increased ARPU (Average Revenue per User) by removing barriers to adoption, reduce churn by improving the customer experience and increase customer loyalty. DM technologies provide a flexible and powerful management method but are managing the same device features that have historically been configured manually through call centers or by the end user making changes directly on the device. For this reason DM technologies must be treated as part of a wider support solution. The traditional requirement for discovery, fault finding, troubleshooting and diagnosis are still as relevant with DM as they are in the current human support environment yet the current generation of solutions do little to address this problem. In the deployment of an effective Device Management solution the network operator must consider the integration of the DM platform, interfacing with many areas of the business, supported by knowledge of the relationship between devices, applications, solutions and services maintained on an ongoing basis. Complementing the DM solution with published device information, setup guides, training material and web based tools will ensure the quality of the customer experience, ensuring that problems are completely resolved, driving data usage by focusing customer education on the use of the wireless service In this way device management becomes a tool used both internally within the network or device vendor and by the customer themselves, with each user empowered to effectively manage the device without any prior knowledge or experience, confident that changes they apply will be relevant, accurate, stable and compatible. The value offered by an effective DM solution with an expert knowledge service will become a significant differentiator for the network operator in an ever competitive wireless market. This research document is intended to highlight some of the issues the industry faces as device management technologies become more prevalent, and offers some potential solutions to simplify the increasingly complex task of managing devices on the network, where device management can be used as a tool to aid customer relations and manage customer’s mobile products in order to resolve issues before the user is aware one exists. The research is broken down into the following, Customer Relationship Management, Device management, the role of knowledge with the DM, Companies that have successfully implemented device management, and the future of device management and CRM. And it also consists of questionnaires aimed at technical support agents and mobile device users. Interview was carried out with CRM managers within support centre to further the evidence gathered. To conclude, the document is to consider the advantages and disadvantages of device management and attempt to determine the influence it will have over customer support centre, and what methods could be used to implement it.

Decision Tree Classification Model In Water Supply Network

With the service life of water supply network (WSN) growth, the growing phenomenon of aging pipe network has become exceedingly serious. As urban water supply network is hidden underground asset, it is difficult for monitoring staff to make a direct classification towards the faults of pipe network by means of the modern detecting technology. In this paper, based on the basic property data (e.g. diameter, material, pressure, distance to pump, distance to tank, load, etc.) of water supply network, decision tree algorithm (C4.5) has been carried out to classify the specific situation of water supply pipeline. Part of the historical data was used to establish a decision tree classification model, and the remaining historical data was used to validate this established model. Adopting statistical methods were used to access the decision tree model including basic statistical method, Receiver Operating Characteristic (ROC) and Recall-Precision Curves (RPC). These methods has been successfully used to assess the accuracy of this established classification model of water pipe network. The purpose of classification model was to classify the specific condition of water pipe network. It is important to maintain the pipeline according to the classification results including asset unserviceable (AU), near perfect condition (NPC) and serious deterioration (SD). Finally, this research focused on pipe classification which plays a significant role in maintaining water supply networks in the future.

“Ombro-cabeça-ombro”: testando a lucratividade do padrão gráfico de análise técnica no mercado de ações brasileiro

A partir de uma adaptação da metodologia de Osler e Chang (1995), este trabalho avalia, empiricamente, a lucratividade de estratégias de investimento baseadas na identificação do padrão gráfico de Análise Técnica Ombro-Cabeça-Ombro no mercado de ações brasileiro. Para isso, foram definidas diversas estratégias de investimento condicionais à identificação de padrões Ombro-Cabeça- Ombro (em suas formas padrão e invertida), por um algoritmo computadorizado, em séries diárias de preços de 47 ações no período de janeiro de 1994 a agosto de 2006. Para testar o poder de previsão de cada estratégia, foram construídos intervalos de confiança, a partir da técnica Bootstrap de inferência amostral, consistentes com a hipótese nula de que, baseado apenas em dados históricos, não é possível criar estratégias com retornos positivos. Mais especificamente, os retornos médios obtidos por cada estratégia nas séries de preços das ações, foram comparados àqueles obtidos pelas mesmas estratégias aplicadas a 1.000 séries de preços artificiais - para cada ação - geradas segundo dois modelos de preços de ações largamente utilizados: Random Walk e E-GARCH. De forma geral, os resultados encontrados mostram que é possível criar estratégias condicionais à realização dos padrões Ombro- Cabeça-Ombro com retornos positivos, indicando que esses padrões conseguem capturar nas séries históricas de preços de ações sinais a respeito da sua movimentação futura de preços, que não são explicados nem por um Random Walk e nem por um E-GARCH. No entanto, se levados em consideração os efeitos das taxas e dos custos de transação, dependendo das suas magnitudes, essas conclusões somente se mantêm para o padrão na sua forma invertida

Organização governamental e trabalho: auto-realização, prazer e eficácia - o caso da Escola de Artes Visuais do Parque Lage

o objetivo do presente estudo é verificar em que contexto se insere a motivação para o trabalho - através da relação entre auto-realização, prazer e eficácia - em uma organização governamental voltada para a Arte, a Escola de Artes Visuais do Parque Lage. Desde a sua criação, em 1975, a EAV sempre esteve à frente dos mais importantes acontecimentos da Arte Contemporânea Brasileira, e se viu envolvida em polêmicas de diversas origens não só como loeus agregador na luta pela liberdade de expressão da sociedade em tempos outrora politicamente conturbados por regimes de exceção, como também por sua sobrevivência enquanto organização que adotou uma postura corajosa na defesa de ideais genuinamente democráticos para sua trajetória. Inicialmente, foi realizada pesquisa documental nos registros e material existentes na Escola, onde houve a oportunidade de se colher informações valiosas dos últimos vinte anos utilizadas no trabalho. Em seguida, foi realizada pesquisa bibliográfica na Biblioteca Nacional, e na biblioteca Mário Henrique Simonsen - da Fundação Getulio Vargas - 8 fontes dos subsídios e aprendizado necessários à elaboração do referencial teórico e ao levantamento de dados referentes à cidade do Rio de Janeiro, notadamente da região onde se localiza a Escola de Artes Visuais do Parque Lage. Por último, foram realizadas as entrevistas - decisivas para o estudo em questão - com os membros da organização, aplicando-se o roteiro de entrevista. Assim sendo, o Capítulo I contempla o referencial teórico utilizado no presente estudo de caso, com uma série de considerações sobre trabalho - profissional e de subsistência - e as colocações dos diversos autores escolhidos que tratam de motivação. o Capítulo 11 faz um relato histórico da região onde se situa a Escola de Artes Visuais do Parque Lage, bem como dos principais aspectos que dizem respeito à organização em questão, desde os seus primórdios. 9 o Capítulo 111 aborda a organização no que diz respeito ao foco do estudo - a motivação no trabalho. Nas Conclusões, onde são comparadas as principais características motivacionais encontradas na Escola de Artes Visuais do Parque Lage com as colocações teóricas dos autores escolhidos que tratam do tema, constatam-se as singularidades da organização estudada que, apesar das dificuldades que tem enfrentado em sua trajetória, soube deixar sua marca definitiva na história da Arte Contemporânea Brasileira.

A composição da dívida pública mobiliária federal interna e os fundos de investimento no Brasil: análise dos fatores de influência

This work intends to study the relationship between Brazilian Internal Public Debt mix and Mutual Funds. In the theoretical framework, the discussion about liquidity preference theories implies considering risk averse investors. Portfolio selection is also discussed, particularly Markowitz efficient frontier. Historical data from November of 1999 to December of 2004 of Brazilian Internal Public Debt mix and Mutual Funds portfolio are analyzed. Official goals concerning Public Debt's mix and its actual composition are presented, as well as Mutual Fund preferences as buyers of public debt securities. Time series of three securities (LFT, LTN and NTN-C) in Public Debt mix and Mutual Funds portfolio are compared and a similar behavior is identified. Relevant facts of the macroeconomic context which may have affected Public Debt or Mutual Funds are discussed. Some indications of a possible influence of Mutual Funds upon Public Debt Mix are obtained and hypothesis to be tested in future studies are proposed.

Ciência e ideologia na escola de 1. grau: o ensino de ciências físicas e biológicas em Goiás

Apoiando-se em proposições teóricas de Althusser, Baudelot & Establet e Bourdieu & Passeron, levantaram-se subsídios para a verificação da hipótese principal de que a disciplina Ciências do currículo de 1o grau, serve de veículo para a inculcação da ideologia dominante, visando a reprodução das relações de produção e da estrutura de classes vigentes no Brasil. Partindo-se do pressuposto básico de que a disseminação de uma cultura científica popular, tal como o incentivo às carreiras ci entíficas, gera oposições da classe dirigente. O trabalho desenvol - veu-se em duas etapas: na primeira, procedeu-se à análise de dados históricos relacionados com a evolução do ensino de Ciências na esco la secundária brasileira. Essa análise mostrou que, desde as reformas pombalinas até à reforma do ensino de 1o e 2o graus, em 1971, praticamente não ocorreram mudanças nos objetivos fixados, programas e procedimentos didáticos da disciplina. Vez que não se modificaram substancialmente as forças condicionantes da estrutura de classes brasileira e das relações de produção aqui encontradas e que determinam as características da escola. Na segunda etapa do trabalho, lançou-se mão de informações obtidas em escolas goianas, não só por meio de entrevistas com professores e alunos de Ciências de 8a série do 1o grau mas também através da análise de livros didáticos. Informações que, permitindo uma reconstrução aproximada da visão de mundo de mes tres e alunos bem como das suas condições materiais de trabalho, serviram para comprovar a hipótese e para mostrar a natureza dos conteú dos da ideologia e as formas pelas quais a mesma é inculcada através da disciplina.

Precificação de derivativos de taxa de juros utilizando o modelo HJM multifatorial com estrutura de volatilidade não paramétrica

Com o objetivo de precificar derivativos de taxas de juros no mercado brasileiro, este trabalho foca na implementação do modelo de Heath, Jarrow e Morton (1992) em sua forma discreta e multifatorial através de uma abordagem numérica, e, que possibilita uma grande flexibilidade na estimativa da taxa forward sob uma estrutura de volatilidade baseada em fatores ortogonais, facilitando assim a simulação de sua evolução por Monte Carlo, como conseqüência da independência destes fatores. A estrutura de volatilidade foi construída de maneira a ser totalmente não paramétrica baseada em vértices sintéticos que foram obtidos por interpolação dos dados históricos de cotações do DI Futuro negociado na BM&FBOVESPA, sendo o período analisado entre 02/01/2003 a 28/12/2012. Para possibilitar esta abordagem foi introduzida uma modificação no modelo HJM desenvolvida por Brace e Musiela (1994).

The Market for borrowing securities in Brazil

We report the results of an exploratory data analysis of the Brazilian securities lending market. The analysis is performed over the full historical data set of each individual loan offer and loan contract negotiated between January 2007 and August 2013. We give a quantitative description of volume and loan fee trends and fee dependence on asset characteristics. We also unveil new stylized facts specific to the Brazilian market on market access asymmetries between different types of investors. The emerging picture is that the Brazilian securities lending market is a complex environment with specific frictions and strong asymmetries among players. In particular, we describe a tax arbitrage operation performed by domestic mutual funds which generates a significant distortion in the data. In one such event, we estimate additional aggregate profits of 24.25 million Reais (around 10 million Dollars).