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blastgame

converter-app

data_fluency_git

learning git and github workflow

foreach-array

Provides a simple interface to iterate through a given array, avoiding some common errors such as, Uncaught TypeError: parent.children.forEach is not a function. Similar interface to Array.prototype.forEach

foreach-object

Provides foreach functionality for objects securely avoiding some common errors

healthsystem

ieee_cis_comp

localised_ensembles

This repository contains the experiments of our paper titled, "Ensembles of Localised Models for Time Series Forecasting" which is online available at: https://doi.org/10.1016/j.knosys.2021.107518. In this work, we study how ensembleing techniques can be used to solve the localisation issues of global forecasting models.

m5

rscripts

sample

saode

SAODE Related Experiments

setar_trees

This repository contains the experiments related to a new and accurate tree-based global forecasting algorithm named, SETAR-Tree.

setartree

sktime

A unified framework for machine learning with time series

sorted4

learning giti and github workflow

stableforecasting

This repository contains the experiments related to a simple linear interpolation based framework that can be used to stabilise the forecasts obtained from any base model.

stableforecasting_a

temperatureforecasting

This repository contains the experiments of our recent study related to the optimisation of Air Conditioning (AC) systems which is published at the IEEE Access.

tsforecasting

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

tsibbledata

Example datasets for tsibble

weeklyforecasting

This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.