Discover rakshitha123/TemperatureForecasting Open Source project

Stars
2
Language
Python
Created almost 3 years ago
Updated almost 3 years ago

rakshitha123

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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.

205

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.

SETAR_Trees

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

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.

Python

IEEE_CIS_Comp

setartree

BlastGame

Java

SAODE

SAODE Related Experiments

rakshitha123/TemperatureForecasting

rakshitha123

Reviews

Repository Details

More Repositories