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1 Bianchi, CarloEnergy demands for commercial buildings with climate variability based on emission scenariosThe impacts of a changing climate are wide-ranging in both impact and scope. This paper investigates the effect that realistic climate variability would have on building energy demands in Salt Lake City, UT to inform planning for air quality impacts. Energy demand scenarios were derived using climat...BEM; EnergyPlus; Emissions; Climate; Energy2017
2 Lucich, Stephen; Smith, AmandaEstimating building CO2 emissions reductions with EnergyPlusThe aim of this research is to investigate the potential to reduce greenhouse gas (GHG) emissions from the buildings sector in the Salt Lake Valley by altering the operational strategies of existing buildings. Air quality efforts typically focus on reducing emissions from transportation and industri...Building energy modeling, Energy efficiency, HVAC, Greenhouse gas emissions2014-02-07
3 Rahman, AowabinPredicting electricity consumption for commercial and residential buildings using deep recurrent neural networksThis paper presents a recurrent neural network model to make medium-to-long term predictions, i.e. time horizon of ≥ 1 week, of electricity consumption profiles in commercial and residential buildings at one-hour resolution. Residential and commercial buildings are responsible for a significant fr...Building Energy Modeling; Machine learning; Recurrent neural networks; Deep learning; Electric load prediction2017
4 Bianchi, CarloCoupling of building and vegetation resolving urban microclimate model with a building energy simulation programThe objective of this work is to develop and validate a coupled fast-running Building Energy Modeling/Microclimate model for use in developing site-specific design strategies which minimize energy and water use All the micro-climate variables affecting the building energy consumption, such as solar ...Building energy modeling; Urban; Microclimate; Simulation; Energy; Environment2018-08
5 Malinowski, NicholasImproving water heaters for sustainabilityBuildings use about 40% of the total U.S. energy demand. Water heaters provide hot water for a variety of building uses including sinks, showers, dishwashers, washing machines, and space heating. Water heaters are the second most energy intensive appliances in a common household. Typically a home...Water heaters; Energy efficiency; Electricity; Emissions; Natural gas2018
6 Rahman, AowabinDeep recurrent neural networks for building energy predictionThis poster illustrates the development of a deep recurrent neural network (RNN) model using long-short-term memory (LSTM) cells to predict energy consumption in buildings at one-hour time resolution over medium-to-long term time horizons ( greater than or equal to 1 week).Machine learning; Energy; Building energy modeling; Deep learning; Recurrent neural networks; Prediction2017-01-13
7 Rahman, AowabinPredicting heating demand and sizing a stratified thermal storage tank using deep learning algorithmsThis paper evaluates the performance of deep recurrent neural networks in predicting heating demand for a commercial building over a medium-to-long term time horizon (≥ 1 week), and proposes a modeling framework to demonstrate how these longer-term predictions can be used to aid design of a strati...Building Energy Modeling; Machine Learning; Recurrent Neural Networks; Deep Learning; Heating Load Prediction; Thermal Energy Storage2018
8 Didier, Richard C.Linking microclimate and energy use with a low cost wall mounted measurement systemUrban microclimate plays a critical role in overall urban energy demand and efficiency. At the building scale, energy use and internal conditions are directly impacted by local microclimate. The direct link between building energy use and local microclimate is through building envelope heat fluxes. ...Microclimate; Energy; Temperature; Humidity; Arduino; EnergyPlus2016-06
9 Bozorgmehr, BehnamQES-Winds v1.0: Theory and User's GuideA new dispersion modeling system based on the well-used FORTRAN-based QUIC (Quick Urban and Industrial Complex) dispersion modeling system originally developed by the University of Utah and Los Alamos National Laboratory [1], has been under development as collaboration between the University of Utah...2021
10 Legorburu, GabrielUsing Observed Data During Early Design To Simulate Building Mechanical System Energy PerformanceEnergy Modeling; Real-World Data; Neural Networks2019
11 Khan, Faisal HabibCommercial and industrial applications getting ready for direct-current power distributionThis paper describes design trends in several classes of power-electronic appliances that will increase the appeal for distributing dc power in buildings. In the commercial sector information technology (IT) power conversion architectures are moving from multi- to single-voltage supplies, initially...Direct current power distribution; Commercial applications2004-01-01
12 Rahman, AowabinPredicting fuel consumption for commercial building with machine learning algorithmsThis paper presents a modeling framework that uses machine learning algorithms to make longterm, i.e. one year-ahead predictions, of fuel consumption in multiple types of commercial prototype buildings at one-hour resolutions. Weather and schedule variables were used as model inputs, and the hourly ...Building energy modeling; Machine learning; Prediction; Heating load; Data-driven modeling2017-08
13 Riloff, Ellen M.Automatically constructing a dictionary for information extraction tasksKnowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires a great deal of manual knowledge engineering. This knowledge engineering bottleneck makes knowledge-based ...Information extraction; Dictionary construction; Knowledge-based systems; AutoSlog; Domain-specific dictionary1993
14 Harrison, Reid R.Fly like a flyTHIS FALL, several biologist colleagues of mine plan to build a movie theater for houseflies. In fact, it's a miniature IMAX theater-complete with a panoramic screen-inside of which they'll place a tiny rotating cage, a downsized version of the ones that astronauts use to simulate tumbling in spa...2005
15 Wehrli, RobertARCAID: The ARChitects computer graphics AIDARCAID?The ARChitect's Computer Graphics AID?is one part of a two-part research program at the University of Utah under the direction of David C. Evans. ARCAID is a specification for the organization of computer processes including data and procedures for the use of architects, engineers, and other...ARCAID1970
16 Riloff, Ellen M.Corpus-based bootstrapping algorithm for semi-automated semantic lexicon constructionMany applications need a lexicon that represents semantic information but acquiring lexical information is time consuming. We present a corpus-based bootstrapping algorithm that assists users in creating domain-specifi c semantic lexicons quickly. Our algorithm uses a representative text corpus for ...Bootstrapping algorithm; Lexicon construction1999-06
17 Lenart, Joshua BelaThe Blue Castle project: a feasibility study of the proposed nuclear power plant in Emery County, Utah along the Green RiverWith an increasing population in Utah, specifically in the Salt Lake Valley, the demand for energy is rapidly growing each year. Currently, Utah's electric grid is largely produced by burning coal, natural gas, and other fossil fuels. In the past, supplying Utahns with electricity from these forms h...Blue Castle; Utah; Nuclear power plant; Emery County2015-08
18 Furse, Cynthia M.Statistical comparison of capacity predictions for realistic MIMO channelsThe impact of antenna polarization on channel capacity is explored in multiple-input, multiple-output (MIMO) systems. An idealized polarization model involving branch power rations (BPR's) and channel cross-coupling is incorporated into channel-specific capacity calculations. Results are compared f...2007-01-01
19 Christensen, Douglas A.Effects of increased energy prices on U.S. agriculture: an econometric approachAlthough the contents of this manuscript remain the responsibility of the authors, we wish to thanks a group of reviewers for the time and conscientious effort they put forth to solidify this final draft. Andrew Morton, Brian Holding, Wesley Buchele, and Arnold Paulsen deserve much credit for their ...Energy prices1981
20 Kasera, Sneha K.Violating privacy through walls by passive monitoring of radio windowsWe investigate the ability of an attacker to passively use an otherwise secure wireless network to detect moving people through walls. We call this attack on privacy of people a "monitoring radio windows" (MRW) attack. We design and implement the MRW attack methodology to reliably detect when a pers...2014-01-01
21 Legorburu, GabrielEnergy modeling framework for optimizing heat recovery in a seasonal food processing facilitySocietal, cultural and economic factors are driving food processors to reduce energy consumed per unit mass of food. This presents a unique problem because time variant batch processing using low to medium grade heat is common in food production facilities. Heat recovery methods may be implemented b...Energy efficiency; Food industry; Heat recovery; Optimization; Simulation2018-07-20
22 Simpson, Jamesina J.FDTD calculations of the diffraction coefficient of vibrating wedgesThe full-vector Maxwell's equations finite-difference time-domain (FDTD) method is employed to calculate diffraction coefficients of vibrating conducting and dielectric wedges. Two-dimensional FDTD models of right-angle wedges are constructed to include total-field scattered-field incident plane-wav...2011-01-01
23 Newell, Martin EdwardThe utilization of procedure models in digital image synthesisMany algorithms have been developed for synthesizing shaded images of three dimensional objects modeled by computer. In spite of widely differing approaches the current state of the art algorithms are surprisingly similar with respect to the richness of the scenes they can process. One attribute the...Digital image synthesis; Procedure models; Shaded images; Three dimensional objects1976
24 Furse, Cynthia M.Leaky fields from damaged shieldsIn a world where wireless devices appear to dominate society, it is wires that truly rule and connect our lives. Certainly the spread of cellular phones, Bluetooth technology, wireless sensor networks, and advances of ion-lithium battery capabilities have made common daily devices more disconnecte...2011
25 Thomas, Tran T. D.Evaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sectorEnergy demands, environmental impacts of energy conversion, and the depletion of fossil; fuels are constant topics of discussion in the energy industry. Renewable energy technologies; have been proposed for many years to address these concerns. However, the transformation; from traditional methods o...Renewable energy; Power generation; Electrical grid; Emerging energy systems; System integration2017-07
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