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GitHub / RichardFindlay / day-ahead-probablistic-forecasting-with-quantile-regression

Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RichardFindlay%2Fday-ahead-probablistic-forecasting-with-quantile-regression

Stars: 21
Forks: 4
Open Issues: 1

License: None
Language: Python
Repo Size: 718 MB
Dependencies: 148

Created: over 2 years ago
Updated: 5 months ago
Last pushed: over 1 year ago
Last synced: 4 months ago

Topics: cnn, d3-visualization, deep-learning, encoder-decoder, interactive-visualizations, keras, lstm, pinball-loss, quantile-regression, renewable-energy

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