Data-driven forecasting with model uncertainty of utility-scale air-cooled condenser performance using ensemble encoder-decoder mixture-density recurrent neural networks
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DOI: 10.1016/j.energy.2021.122030
Abstract: Abstract In the current work, an encoder-decoder mixture-density network (MDN) is developed using recurrent neural networks (RNN) for the prediction of utility-scale air-cooled condenser backpressure. Backpressure has a direct impact on thermal power plant generated… read more here.
Keywords: model; encoder decoder; mixture density; decoder mixture ... See more keywords