Archimedes optimization algorithm based approaches for solving energy demand estimation problem: a case study of Turkey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08769-6.pdf
Reference65 articles.
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2. Suganthi L, Samuel AA (2012) Energy models for demand forecasting—A review. Renewable Sustain Energy Rev 16:1223–1240
3. Ghalehkhondabi I, Ardjmand E, Weckman GR, Young WA (2017) An overview of energy demand forecasting methods published in 2005–2015. Energy Syst 8:411–447
4. McBeath B, Grackin A (2010) Demand management in the second decade: a structured view, part 1 ChainLink Brief
5. Sharif A, Baris-Tuzemen O, Uzuner G, Ozturk I, Sinha A (2020) Revisiting the role of renewable and non-renewable energy consumption on Turkey’s ecological footprint: evidence from Quantile ARDL approach. Sustain Cities Soc 57:102138
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