Explainable support vector regression coupled with quantum firefly optimisation algorithm for carbon emission prediction in West Africa: The role of socioeconomic, energy, and environmental factors

Achieving the Sustainable Development Goals and creating sustainable environmental policies depend on accurate carbon emission prediction. The Autoregressive model (AR), Autoregressive Integrated Moving Average (ARIMA), Multiple Linear Regression (MLR), Extreme Learning Machine (ELM), Support Vector...

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Vydáno v:	Renewable energy Ročník 256; s. 124298
Hlavní autoři:	Mati, Sagiru, Usman, Abdullahi G., Ismael, Goran Yousif, Babuga, Umar Tijjani, Nadarajah, Saralees, Masoud, Serag, Uzun Ozsahin, Dilber, Abba, Sani I.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2026
Témata:	Artificial intelligence Global warming Machine learning Renewable energy Swarm algorithm C53 Q54 Q56 Renewable energy C45 Machine learning Global warming Swarm algorithm Artificial intelligence
ISSN:	0960-1481
On-line přístup:	Získat plný text
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