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Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models

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Published in:Computer Engineering and Intelligent Systems
Format: Online Article RSS Article
Published: 2026
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container_title Computer Engineering and Intelligent Systems
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discipline_display Technology & Engineering
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format Online Article
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journal_source_facet Computer Engineering and Intelligent Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
Computer Engineering
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Engineering
Technology & Engineering — Computing
Technology & Engineering
Computer Engineering
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Engineering
Technology & Engineering — Computing
Technology & Engineering
title Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
title_auth Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
title_full Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
title_fullStr Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
title_full_unstemmed Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
title_short Global Renewable Energy Consumption Forecasting: A Comparative Benchmarking Study of Statistical, Machine Learning, and Deep Learning Models
title_sort global renewable energy consumption forecasting: a comparative benchmarking study of statistical, machine learning, and deep learning models
topic Computer Engineering
Technology & Engineering — Computing
Technology & Engineering
url https://www.iiste.org/Journals/index.php/CEIS/article/view/63772