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| Creator | Title | Description | Subject | Date | ||
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Bianchi, Carlo | Coupling of building and vegetation resolving urban microclimate model with a building energy simulation program | The 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; Environment | 2018-08 |
| 2 |
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Rahman, Aowabin | Deep recurrent neural networks for building energy prediction | This 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; Prediction | 2017-01-13 |
| 3 |
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Bianchi, Carlo | Energy demands for commercial buildings with climate variability based on emission scenarios | The 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; Energy | 2017 |
| 4 |
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Didier, Richard C. | Linking microclimate and energy use with a low cost wall mounted measurement system | Urban 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; EnergyPlus | 2016-06 |
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