Probabilistic Load Forecasting With Reservoir Computing

Probabilistic Load Forecasting With Reservoir Computing

Some applications of deep learning require not only to provide accurate results but also to quantify the amount of confidence in their prediction. The management of an electric power grid is one of these cases: to avoid risky scenarios, decision-makers need both precise and reliable forecasts of, fo...

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Bibliographic Details
Main Authors: Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Time series forecasting
reservoir computing
probabilistic forecasting
Bayesian inference
quantile regression
Online Access:https://ieeexplore.ieee.org/document/10360823/

Internet

https://ieeexplore.ieee.org/document/10360823/

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