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Showing 1 to 6 of 6 for “"S2S"”.

  1. Forecasting Energy Consumption using Sequence to Sequence Attention models

    … this thesis applies Sequence-to-Sequence (S2S) Recurrent Neural Networks (RNNs) with attention for electrical load forecasting. The S2S and S2S attention architectures commonly used for neural machine translation are adapted for energy forecasting. An RNN enables capturing time dependencies …

    uwo Repository record for Forecasting Energy Consumption using Sequence to Sequence Attention models (opens in a new tab)

  2. Application of neural networks to subseasonal to seasonal predictability in present and future climates

    … on subseasonal to seasonal timescales (S2S; 2 weeks to a season). Yet accurate predictions on these timescales provide crucial, actionable lead times for agriculture, energy, and water management sectors. Fortunately, specific Earth system states – deemed forecasts of opportunity – can …

    colostate Repository record for Application of neural networks to subseasonal to seasonal predictability in present and future climates (opens in a new tab)

  3. AI-informed model analogs for subseasonal-to-seasonal prediction

    … employed on longer timescales, to improve S2S predictions. Using an artificial neural network, we learn a mask of weights to optimize analog selection and showcase its versatility across three varied prediction tasks: 1) classification of Week 3-4 Southern California summer temperatures; 2) …

    colostate Repository record for AI-informed model analogs for subseasonal-to-seasonal prediction (opens in a new tab)

  4. Toward better subseasonal-to-seasonal prediction: physics-oriented model evaluation and predictability of tropical cyclones

    "Skillful subseasonal-to-seasonal (hereafter S2S; 10 days - 12 weeks) prediction can greatly benefit decision-making on resource management and agricultural planning that falls into the weekly to seasonal time ranges. The S2S prediction, bridging the traditional weather forecasting and climate …

    uiuc Repository record for Toward better subseasonal-to-seasonal prediction: physics-oriented model evaluation and predictability of tropical cyclones (opens in a new tab)

  5. Subseasonal to seasonal prediction and predictability of extreme and severe weather

    … severe weather on the sub-seasonal to seasonal (S2S) timescale while exploring physical mechanisms that result in successful statistical prediction of atmospheric blocking, extreme temperatures, and severe weather activity. Successful prediction of extremes on the S2S timescale is becoming more …

    uiuc Repository record for Subseasonal to seasonal prediction and predictability of extreme and severe weather (opens in a new tab)

  6. Exploiting System Diversity in Peer-to-Peer Publish-Subscribe Systems

    … It uses a novel source-2-source (s2s) overlay to speed up the transfer of file blocks towards the sink. Intuitively, the s2s overlay facilitates a source node (with a congested path to the sink) to utilize other source nodes as intermediaries for routing file blocks to the sink. …

    uiuc Repository record for Exploiting System Diversity in Peer-to-Peer Publish-Subscribe Systems (opens in a new tab)