Concepedia

Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

Alessandro Brusaferri, Matteo Matteucci, Pietro Portolani, Andrea Vitali

Applied Energy · 2019 · 127 citations · 76 references

Open access

Concepts

ComputingData ScienceElectrical EngineeringForecastingMachine LearningTime Series AnalysisBayesian InferenceBayesian LearningBayesian ModelingBayesian StatisticsProbabilistic ForecastingTime Series ForecastingBayesian Deep LearningBayesian ForecastingDeep Learning For ForecastingDeep Learning For Time Series ForecastingDeep Learning-based ForecastingDeep Learning-based Price ForecastingElectricity Price Forecasting

References

76

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Neural networks for pattern recognition

Choice Reviews Online · 1994 · 18.7K citations

Computing, Computer Science, Computer Vision +13

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Sergey Ioffe · arXiv (Cornell University) · 2024 · 15.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +15

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Geoffrey E. Hinton, Li Deng, Dong Yu et al. · IEEE Signal Processing Magazine · 2012 · 10.3K citations

Computing, Computer Science, Acoustics +16

System identification—Theory for the user

Naresh K. Sinha · Automatica · 1989 · 9.2K citations

Engineering, Computer Science, Systems Engineering +10