Search Results - "Duhirwe, Patrick Nzivugira"

Energy-efficient virtual sensor-based deep reinforcement learning control of indoor CO2 in a kindergarten by Duhirwe, Patrick Nzivugira, Ngarambe, Jack, Yun, Geun Young

“…High concentrations of indoor CO2 pose severe health risks to building occupants. Often, mechanical equipment is used to provide sufficient ventilation as a…”
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Sequential attention deep learning architecture with unsupervised pre-training for interpretable and accurate building energy prediction with limited data by Uwiragiye, Beatha, Duhirwe, Patrick Nzivugira, Seo, Hyeongjoon, Yun, Geun Young

“…Predicting building energy consumption is important for energy efficiency and reducing carbon emissions. However, deep learning (DL) models for energy…”
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Causal effects of policy and occupant behavior on cooling energy by Duhirwe, Patrick Nzivugira, Ngarambe, Jack, Yun, Geun Young

“…Rising energy consumption in buildings has prompted architectural engineers and policymakers to ask “what-if” questions in the pursuit of energy efficiency…”
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Predicting the magnitude and the characteristics of the urban heat island in coastal cities in the proximity of desert landforms. The case of Sydney by Yun, Geun Young, Ngarambe, Jack, Duhirwe, Patrick Nzivugira, Ulpiani, Giulia, Paolini, Riccardo, Haddad, Shamila, Vasilakopoulou, Konstantina, Santamouris, Mat

“…The urban heat island is a vastly documented climatological phenomenon, but when it comes to coastal cities, close to desert areas, its analysis becomes…”
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Meteorological influence on forecasting urban pollutants: Long-term predictability versus extreme events in a spatially heterogeneous urban ecosystem by Ulpiani, Giulia, Duhirwe, Patrick Nzivugira, Yun, Geun Young, Lipson, Mathew J.

“…With the escalation of heat- and pollution-related threats in cities across the globe, timely counteractions and emergency procedures are vital, which calls…”
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Using deep-learning to forecast the magnitude and characteristics of urban heat island in Seoul Korea by Oh, Jin Woo, Ngarambe, Jack, Duhirwe, Patrick Nzivugira, Yun, Geun Young, Santamouris, Mattheos

“…Urban heat island (UHI), a phenomenon involving increased air temperature of a city compared to the surrounding rural area, results in increased energy use and…”
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Energy-efficient virtual sensor-based deep reinforcement learning control of indoor CO 2 in a kindergarten by Duhirwe, Patrick Nzivugira, Ngarambe, Jack, Yun, Geun Young

“…High concentrations of indoor CO 2 pose severe health risks to building occupants. Often, mechanical equipment is used to provide sufficient ventilation as a…”
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Coupling convolutional neural networks with gated recurrent units to model illuminance distribution from light pipe systems by Ngarambe, Jack, Duhirwe, Patrick Nzivugira, Van Quang, Tran, Nzarigema, Jean d’Amour, Yun, Geun Young

“…Existing methods used to predict the performance of light pipe systems depend on empirical models based on specific conditions (e.g., climate, configuration)…”
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Geographically extended occupant clothing behavior model using convolutional neural networks with hyperband technique by Duhirwe, Patrick Nzivugira, Ngarambe, Jack, Yun, Geun Young

“…Occupant basic clothing insulation is essential in the computation of occupant thermal comfort indices and heating ventilation and air conditioning (HVAC)…”
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A novel deep learning‐based integrated photovoltaic, energy storage system and electric heat pump system: Optimising energy usage and costs by Duhirwe, Patrick Nzivugira, Hwang, Jun Kwon, Ngarambe, Jack, Kim, Suhgoo, Kim, Kyungjae, Song, Kwanwoo, Yun, Geun Young

“…Summary The use of photovoltaic (PV) systems has drawn attention as a solution to reduce the dependence on fossil fuel for building energy needs. Moreover,…”
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