Correction to “Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM”

In the published article, the following typographical errors are present in the reference list.These errors

Publication Details

Journal
Journal of Forecasting
Published
2026-01-28
DOI
https://doi.org/10.1002/for.70122
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Correction to “Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM”

Journal of Forecasting
Energy Load and Power Forecasting
article

Correction to “Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM”

article en

Abstract

In the published article, the following typographical errors are present in the reference list.These errors

Journal of ForecastingVol. 45(3)
Openalex Percentile: Top 73%
Energy Load and Power Forecasting
DOIOpen Access PDFOpenAlex
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Correction to “Smart Forecasting of Carbon Prices Using Machine Learning and Neural Networks: When ARIMA Meets XGBoost and LSTM” · Journal of Forecasting (2026) | TGRS Research Map | TGRS