Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 1686 for “"Energy Consumption"”.
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Social dynamics of energy consumption
Consumers are at the heart of the energy system. The changing consumption patterns embodied in routine purchases significantly influence the extent of climate change impacts. Yet, their prominence in the energy demand and supply paradigm lends them the potential to also act as agents of change in …
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Energy consumption of building 39
… has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and with that knowledge be able to recommend methods of reducing energy consumption by …
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Climatic Influences on Residential Energy Consumption
… applicable to the estimation of residential energy consumption, has been developed. The index is based on seasonal frequencies of upper-air (500-mb height) circulation patterns. Upper air circulation patterns are related to surface weather conditions, in that the movement of surface weather …
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Energy consumption by automobiles in Japan
Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 1985.
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Energy consumption metrics of MIT buildings
With world energy demand on the rise and greenhouse gas levels breaking new records each year, lowering energy consumption and improving energy efficiency has become vital. MIT, in a mission to help improve the global energy system, launched the MIT Energy Initiative in 2006, and is aggressively …
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Detecting Irregular Energy Consumption Through Analytical Techniques
Most of the tools that are currently used for energy management fail to detect irregular behaviour when a dataset is measured in a time domain rather than a frequency domain. The objective of this research was to develop an analytical technique that can be used as an energy management tool in …
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Geographic Patterns of Energy Consumption in Tasmania
Made available in DSpace on 2014-12-09T18:29:34Z (GMT). No. of bitstreams: 1 6910762.pdf: 6477082 bytes, checksum: d2ef2ed698630773cada9bc6126003ba (MD5) Previous issue date: 1968
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Reducing 3G energy consumption on mobile devices
… experimental evaluation of methods to reduce the energy consumption of the 3G radio interface. The idea is to put the radio in its "Low-power idle" state when no application is likely to need the network for some duration of time in the future. We present two techniques, one to determine when to …
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Evaluation of software energy consumption on microprocessors
In the area of wireless communications, energy consumption is the key design consideration. Significant effort has been placed in optimizing hardware for energy efficiency, while relatively less emphasis has been placed on software energy reduction. For overall energy efficiency reduction of system …
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Exposing datapath elements to reduce microprocessor energy consumption
… datapath to the compiler in order to reduce energy consumption. We focus on eliminating register file traffic by exposing the latches in the bypass network, as our study shows that there is potential for significant benefit by doing this. We present the idea of software restart markers to …
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Synthesizing Vehicle Cornering Modes for Energy Consumption Analysis
… bodies and consumers to reduce the fuel consumption and harmful emissions of their newly produced vehicles as a result of new research showing the detrimental effects these emissions have on the environment. These pressures are encouraging manufactures and researchers to invest billions …
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Forecasting Energy Consumption using Sequence to Sequence Attention models
… conditions, reduce operating costs, and identify energy savings opportunities, it is essential to efficiently manage energy consumption. Internet of Things (IoT) devices, including widely-used smart meters, have created possibilities for sensor based energy forecasting. Machine learning algorithms …
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Energy consumption in networks on chip : efficiency and scaling
… design strategy is motivated by the superior energy efficiency of the multi-core architecture compared to the traditional monolithic CPU. If the trend continues as expected, the number of cores on a chip is predicted to grow exponentially over time as the density of transistors on a die …
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Optimization Techniques for Minimizing Energy Consumption in Approximate Circuits
… designing "approximate" circuits which decrease energy consumption, one of the most important criteria in present day circuit design. The concept of "approximate" circuits which trades off energy consumption to output quality, thus creating a new dimension to the design space, is radically …
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Efficiency alone as a solution to increasing energy consumption
… the effect of efficiency on the total US energy consumption of automobiles and refrigerators. Review of literature shows that there are many different opinions regarding this issue. Trends in energy consumption were constructed using historical data from government agencies and prior …
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Building Energy Profile Clustering Based on Energy Consumption Patterns
… an unprecedented amount of high- resolution energy data is released, which provides opportunities to understand building consumption patterns. Accordingly, research efforts have employed data analytics and machine learning methods for the segmentation of consumers based on their load …
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Modeling energy consumption in the mining and milling of uranium
… family of top-down statistical models describing energy consumption in the mining, milling, and refining of uranium are formulated. The purpose of the models is to estimate the energy-to-grade dependence for uranium extraction, while defining a minimum grade that can be feasibly mined and …
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G-Code Based Toolpath Simulation for Predicting CNC Energy Consumption
Machining is an energy intensive process, and being able to model the energy consumption of machining would allow manufacturers to consider how to reduce their energy footprint. While many models have been developed for estimating energy consumption, they are not easily applicable or accessible to …
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