Utilizing Clonal Selection Theory Inspired Algorithms and K-Means Clustering for Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption

Author:

Lasisi Ayodele,Ghazali Rozaida,Chiroma Haruna

Publisher

Springer International Publishing

Reference21 articles.

1. Sari, R., Soytas, U.: Are global warming and economic growth compatible? Evidence from five OPEC countries? Appl. Energy 86, 1887–1893 (2009)

2. Chen, T., Wang, Y.C.: A fuzzy-neural approach for global CO2 concentration forecasting. Intell. Data Anal. 15, 763–777 (2011)

3. Chen, T.: A collaborative fuzzy-neural system for global CO2 concentration forecasting. Int. J. Innov. Comput. Inf. Control 8, 7679–7696 (2012)

4. Tang, N., Zhang, D.-J.: Application of a load forecasting model based on improved grey neural network in the smart grid. Energy Procedia. 12, 180–184 (2011)

5. de Castro, L.N., von Zuben, F.J.: The clonal selection algorithm with engineering applications. In: Proceedings of GECCO, pp. 36–39 (2000)

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