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.
No commits in the last 6 months.
Stars
43
Forks
5
Language
Python
License
—
Category
Last pushed
Nov 20, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RichardFindlay/day-ahead-probablistic-forecasting-with-quantile-regression"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FlexMeasures/flexmeasures
The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly...
ml-energy/zeus
Measure and optimize the energy consumption of your AI applications!
pyaf/load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
FateMurphy/CEEMDAN_LSTM
CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...
saizk/Deep-Learning-for-Solar-Panel-Recognition
CNN models for Solar Panel Detection and Segmentation in Aerial Images.