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Use of artificial neural networks for transport energy demand modeling

2005201 citationsJournal Article

Authors

Yetiş Şazi Murat · Pamukkale University

Halim Ceylan · Pamukkale University

Topics & Keywords

Energy Load and Power Forecasting Stock Market Forecasting Methods Neural Networks and Applications

UN Sustainable Development Goals

Affordable and clean energy

Publication Details

Published in: Energy Policy

Volume 34, Issue 17, pp. 3165-3172

DOI: 10.1016/j.enpol.2005.02.010

Field-Weighted Citation Impact: 3.62

Use of artificial neural networks for transport energy demand modeling | Researchclopedia