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Forecasting 2030 CO2 reduction targets for Russia as a major emitter using different estimation scenarios

Gurbanov, Sarvar; Mikayilov, Jeyhun I.; Mukhtarov, Shahriyar - In: Journal of applied economics 26 (2023) 1, pp. 1-26

This study firstly analyzes the impact of energy intensities and income on CO2 emissions in Russia, applying different estimation methods to the data period from 1990 to 2020. In addition, the study forecasts CO2 emissions considering 2030 targets under different assumptions and assesses the...

Persistent link: https://www.econbiz.de/10014515642

Assessing effects of exogenous assumptions in GHG emissions forecasts : a 2020 scenario study for Portugal using the Times energy technology model

Simoes, Sofia; Fortes, Patrícia; Seixas, Júlia; … - In: Technological forecasting & social change : an … 94 (2015), pp. 221-235

Persistent link: https://www.econbiz.de/10011391600

Energy and emissions forecast of China over a long-time horizon

Rout, Ullash Kumar; Voβ, Alfred; Singh, Anoop; Fahl, Ulrich - In: Energy : the international journal ; technologies, … 36 (2011) 1, pp. 1-11

Persistent link: https://www.econbiz.de/10008826125

Long term electricity consumption forecast in Brazil : a fuzzy logic approach

Torrini, Fabiano Castro; Souza, Reinaldo Castro; … - In: Socio-economic planning sciences : the international … 54 (2016), pp. 18-27

Persistent link: https://www.econbiz.de/10011481617

Conditional density forecast of China's energy demand via QRNN model

Cao, Shubo; Xu, Qifa; Jiang, Cuixia; He, Yaoyao - In: Applied economics letters 25 (2018) 12, pp. 867-875

Persistent link: https://www.econbiz.de/10012130465

Forecasting and the casual relationship of sectorial energy consumptions and GDP of Pakistan by using AR, ARIMA, and Toda-Yamamoto Wald models

Štreimikienė, Dalia; Ahmed, Rizwan Raheem; Ghauri, … - In: Romanian journal of economic forecasting 23 (2020) 2, pp. 131-148

Persistent link: https://www.econbiz.de/10012423079

Chinese residential electricity consumption : estimation and forecast using micro-data

Cao, Jing; Ho, Mun S.; Li, Yating; Newell, Richard G.; … - In: Resource and energy economics 56 (2019), pp. 6-27

Persistent link: https://www.econbiz.de/10012313083

Forecasting regional industrial production with high-frequency electricity consumption data

Lehmann, Robert; Möhrle, Sascha - 2022

avenue to measure and forecast regional economic activity. …

Persistent link: https://www.econbiz.de/10013362425

Using Fractional Discrete Verhulst Model to Forecast Fujian's Electricity Consumption in China

Zhou, Chenyu; Qin, Zhilin; Wang, Jianhong - 2022

consumption forecast in Fujian. Compare the new model with fractional GM(1,1) model and fractional Verhulst model. The results …

Persistent link: https://www.econbiz.de/10013304917

Foresight : the art and science of anticipating the future

Loveridge, Denis - 2009

Persistent link: https://www.econbiz.de/10003681547

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