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Browsing by Author "Subbiah, Rajesh"

Now showing 1 - 3 of 3
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    An activity-based energy demand modeling framework for buildings: A bottom-up approach
    Subbiah, Rajesh (Virginia Tech, 2013-05-23)
    Energy consumption by buildings, due to various factors such as temperature regulation, lighting, poses a threat to our environment and energy resources. In the United States, statistics reveal that commercial and residential buildings combined contribute about 40 percent of the overall energy consumption, and this figure is expected to increase. In order to manage the growing demand for energy, there is a need for energy system optimization, which would require a realistic, high-resolution energy-demand model. In this work, we investigate and model the energy consumption of buildings by taking into account physical, structural, economic, and social factors that influence energy use. We propose a novel activity based modeling framework that generates an energy demand profile on a regular basis for a given nominal day.  We use this information to generate a building-level energy demand profile at highly dis-aggregated level. We then investigate the different possible uses of generated demand profiles in different What-if scenarios like urban-area planning, demand-side management, demand sensitive pricing, etc. We also provide a novel way to resolve correlational and consistency problems in the generation of individual-level and building-level "shared" activities which occur due to individuals\' interactions.
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    CINETGraphCrawl - Constructing graphs from blogs
    Kaw, Rushi; Subbiah, Rajesh; Makkapati, Hemanth (2012-12-11)
    Internet forums, weblogs, social networks, and photo and video sharing websites are some forms of social media that are at the forefront of enabling communication among individuals. The rich information captured in social media has enabled a variety behavioral research assisting domains such as marketing, finance, public health and governance etc. Furthermore, social media is believed to be capable of providing valuable insights into understanding information diffusion phenomena such as social influence, opinion formation and rumor spread. Here, we propose a semi-automated approach with prototype implementation that constructs interaction graphs to enable such behavioral studies. We construct first and second degree interaction graphs from Stackoverflow, a programming forum, and CNN Political Ticker, a political news blog.
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    LucidWorks: Advanced Searching cURL
    Makkapati, Hemanth; Subbiah, Rajesh; Kaw, Rushi (2012-10-07)
    This module focuses on advanced search techniques using Apache Solr through cURL. Successful completion of this module will enable students to employ advanced search techniques based on multi-values, multi-fields, phrase queries, query term proximity, boosting, etc. Also, students will be able to sort and display returned results in various ways.