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CreatorTitleDescriptionSubjectDate
1 Rashid, Khalid; Powell, KodyDynamic simulation, control, and design of a novel solar thermal hybrid power plantSolar power is among the promising technologies leading towards cleaner fuel. However, there are still technological challenges regarding the reliability of power generation due to its intermittency. This work demonstrates the synergies that exist in integrated hybrid systems, where a dispatchable f...Solar energy--Research; Solar thermal energy--Research; Solar power plants--Research2017
2 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
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
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