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Energy consumption, associated questions and some answers

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  • Ismet Ugursal, V.

Abstract

Characteristics, trends and consequences of global energy consumption along with the disparity amongst nations regarding energy consumption, wealth and human development are discussed. The connection between energy consumption, wealth and human development is shown and the impact of this connection on the future of energy demand and supply is explored taking into consideration the projected increase in population. It is posited that increased international awareness and effort is needed to put in place realistic plans to address the socio-economic problems that will be faced as the competition for the already strained energy resources increases over the coming decades.

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  • Ismet Ugursal, V., 2014. "Energy consumption, associated questions and some answers," Applied Energy, Elsevier, vol. 130(C), pages 783-792.
    • Handle: RePEc:eee:appene:v:130:y:2014:i:c:p:783-792
    DOI: 10.1016/j.apenergy.2013.11.072
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    4. Matthew J. Burke, 2020. "Energy-Sufficiency for a Just Transition: A Systematic Review," Energies, MDPI, vol. 13(10), pages 1-14, May.
    5. Wei Wang & Leonid Melnyk & Oleksandra Kubatko & Bohdan Kovalov & Luc Hens, 2023. "Economic and Technological Efficiency of Renewable Energy Technologies Implementation," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    6. Jin-Young Kim & Sung-Bae Cho, 2019. "Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder," Energies, MDPI, vol. 12(4), pages 1-14, February.
    7. Ribas, Aline & Lucena, André F.P. & Schaeffer, Roberto, 2017. "Bridging the energy divide and securing higher collective well-being in a climate-constrained world," Energy Policy, Elsevier, vol. 108(C), pages 435-450.
    8. Gereon tho Pesch & Anna Kristín Einarsdóttir & Kevin Joseph Dillman & Jukka Heinonen, 2023. "Energy Consumption and Human Well-Being: A Systematic Review," Energies, MDPI, vol. 16(18), pages 1-22, September.
    9. Chengdong Li & Zixiang Ding & Dongbin Zhao & Jianqiang Yi & Guiqing Zhang, 2017. "Building Energy Consumption Prediction: An Extreme Deep Learning Approach," Energies, MDPI, vol. 10(10), pages 1-20, October.

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