Comparative study on carbon price forecast based on LSTM and ARIMA model
Open Access
- 25 November 2022
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 62-67
Abstract
No abstract availableFunding Information
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
- Graduate Research and Practice Innovation Program of Jiangsu Provincethe (KYCX21_1879)
This publication has 5 references indexed in Scilit:
- Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from ChinaDiscrete Dynamics in Nature and Society, 2020
- Modelling carbon emission intensity: Application of artificial neural networkJournal of Cleaner Production, 2019
- Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction modelExpert Systems with Applications, 2015
- Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH modelsCentral European Journal of Operations Research, 2014
- Forecasting carbon futures volatility using GARCH models with energy volatilitiesEnergy Economics, 2013