An assessment of global electric power consumption using the Defense Meteorological Satellite Program-Operational Linescan System nighttime light imagery
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DOI: 10.1016/j.energy.2019.116351
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- Shi, Kaifang & Yu, Bailang & Huang, Chang & Wu, Jianping & Sun, Xiufeng, 2018. "Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road," Energy, Elsevier, vol. 150(C), pages 847-859.
- Shi, Kaifang & Chen, Yun & Yu, Bailang & Xu, Tingbao & Yang, Chengshu & Li, Linyi & Huang, Chang & Chen, Zuoqi & Liu, Rui & Wu, Jianping, 2016. "Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data," Applied Energy, Elsevier, vol. 184(C), pages 450-463.
- Lean, Hooi Hooi & Smyth, Russell, 2010.
"CO2 emissions, electricity consumption and output in ASEAN,"
Applied Energy, Elsevier, vol. 87(6), pages 1858-1864, June.
- Hooi Hooi Lean & Russell Smyth, 2009. "Co2 Emissions, Electricity Consumption And Output In Asean," Development Research Unit Working Paper Series 13-09, Monash University, Department of Economics.
- Dedinec, Aleksandar & Taseska-Gjorgievska, Verica & Markovska, Natasa & Obradovic Grncarovska, Teodora & Duic, Neven & Pop-Jordanov, Jordan & Taleski, Rubin, 2016. "Towards post-2020 climate change regime: Analyses of various mitigation scenarios and contributions for Macedonia," Energy, Elsevier, vol. 94(C), pages 124-137.
- Kim, Hoseok & Shin, Eui-soon & Chung, Woo-jin, 2011. "Energy demand and supply, energy policies, and energy security in the Republic of Korea," Energy Policy, Elsevier, vol. 39(11), pages 6882-6897.
- Hu, Ting & Huang, Xin, 2019. "A novel locally adaptive method for modeling the spatiotemporal dynamics of global electric power consumption based on DMSP-OLS nighttime stable light data," Applied Energy, Elsevier, vol. 240(C), pages 778-792.
- Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
- Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
- Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
- Gambhir, Ajay & Napp, Tamaryn A. & Emmott, Christopher J.M. & Anandarajah, Gabrial, 2014. "India's CO2 emissions pathways to 2050: Energy system, economic and fossil fuel impacts with and without carbon permit trading," Energy, Elsevier, vol. 77(C), pages 791-801.
- Al-Mulali, Usama & Ozturk, Ilhan, 2015. "The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region," Energy, Elsevier, vol. 84(C), pages 382-389.
- Jayanthakumaran, Kankesu & Verma, Reetu & Liu, Ying, 2012. "CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India," Energy Policy, Elsevier, vol. 42(C), pages 450-460.
- Xie, Yanhua & Weng, Qihao, 2016. "Detecting urban-scale dynamics of electricity consumption at Chinese cities using time-series DMSP-OLS (Defense Meteorological Satellite Program-Operational Linescan System) nighttime light imageries," Energy, Elsevier, vol. 100(C), pages 177-189.
- Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
- Al-mulali, Usama & Binti Che Sab, Che Normee & Fereidouni, Hassan Gholipour, 2012. "Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission," Energy, Elsevier, vol. 46(1), pages 156-167.
- Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
- Shi, Kaifang & Yang, Qingyuan & Fang, Guangliang & Yu, Bailang & Chen, Zuoqi & Yang, Chengshu & Wu, Jianping, 2019. "Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China," Energy, Elsevier, vol. 167(C), pages 641-653.
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- Du, Mengbing & Ruan, Jianhui & Zhang, Li & Niu, Muchuan & Zhang, Zhe & Xia, Lang & Qian, Shuangyue & Chen, Chuchu, 2024. "China's local-level monthly residential electricity power consumption monitoring," Applied Energy, Elsevier, vol. 359(C).
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- Hu, Ting & Wang, Ting & Yan, Qingyun & Chen, Tiexi & Jin, Shuanggen & Hu, Jun, 2022. "Modeling the spatiotemporal dynamics of global electric power consumption (1992–2019) by utilizing consistent nighttime light data from DMSP-OLS and NPP-VIIRS," Applied Energy, Elsevier, vol. 322(C).
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Keywords
Electric power consumption; Global spatial pattern; Metropolises; Nighttime lights; Remote sensing;All these keywords.
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