Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM
Year: 2025
Type: article
Source: Journal of Forecasting
DOI: 10.1002/for.70025
Authors: Giorgos Kotsompolis, Panagiotis Cheilas, Konstantinos N. Konstantakis, Evangelos Sfakianakis, Stephane Goutte, Panayotis G. Michaelides
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Climate action
Open Access status: closed
OpenAlex ID: W4414340735