Estimates of greenhouse gas emission in Turkey with grey wolf optimizer algorithm-optimized artificial neural networks

Author:

Uzlu ErgunORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference70 articles.

1. Republic of Turkey Ministry of Environment and Urbanization. Turkey environmental performance review report. https://webdosya.csb.gov.tr/db/ab/icerikler/oecd-epr-tr-20190228120557.pdf

2. Turkish Statistical Institute (TURKSTAT). Greenhouse gas emission statistics 1990–2018. https://webdosya.csb.gov.tr/db/iklim/icerikler/turk-ye-istat-st-k-kurumu-sera-gazi-em-syon-istat-st-kler--1990-2018-20200506122539.pdf

3. Natural Gas Distribution Companies Association of Turkey. Carbon emission report. https://www.gazbir.org.tr/uploads/page/Karbon%20Emisyonu-Rev-Son.pdf

4. Choi CS, Abdullah L (2016) Prediction of carbon dioxide emissions using two linear regression-based models: a comparative analysis. J Appl Eng 4:305–312

5. Pao HT, Tsai CM (2011) Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil. Energy 36:2450–2458

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