aemo australia energy forecast national-electricity-market nem nemweb pasa pre-dispatch python

Earth and Environmental Sciences Artificial Intelligence and Machine Learning (40%) Medicine (40%)

artificial-intelligence autoregression deep-learning fbprophet forecast forecasting forecasting-algorithm forecasting-model machine-learning neural neural-network neuralprophet prediction prophet python pytorch seasonality time-series timeseries trend

cran forecast forecasting r

aggregate filter forecast normalization peak rank regression rolling-window time-series trend

arima arima-forecasting ces ets exponential-smoothing forecast r-package state-space statespace time-series

adcirc automation cyclones forecast gcc gfortran hurricane intel intel-oneapi openmp oracle-cloud redhat tropical ububtu windows wsl2

coercion coercion-functions data-mining dplyr forecast forecasting forecasting-models machine-learning r-package series-decomposition series-signature tibble tidy tidyquant tidyverse time time-series timeseries

awsm forecast hydrology modeling snow water watershed

dask forecast forecasting lightgbm machine-learning python time-series xgboost

ensemble ensemble-learning forecast forecasting modeltime r-package stacking stacking-ensemble tidymodels time time-series timeseries

broom forecast forecasting-models prediction r-package tidy tidyverse time time-series timeseries

detrending esprit forecast hankel-matrix singular-spectrum-analysis time-series time-series-analysis time-series-decomposition time-series-forecasting trend-detection

autoregressive boxcox forecast loess mauna-loa multivariate smoothing stl time-series trend-decomposition var

ataforecasting fable fabletools forecast forecasting

dynamic-factor-models ecm-algorithm forecast julia kalman-filter kalman-smoother time-series var-models vma-models

analogue downscaling forecast precipitation

climate forecast fortran model nwp simulation weather wrf

forecast optimization scenario stochastic-optimization

covid-19 forecast omicron