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Energy risk management through self-exciting marked point process
Herrera, Rodrigo - In: Energy economics 38 (2013), pp. 64-76
Persistent link: https://www.econbiz.de/10009763643
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End use technology choice in the National Energy Modeling System (NEMS) : an analysis of the residential and commercial building sectors
Wilkerson, Jordan T.; Cullenward, Danny; Davidian, Danielle - In: Energy economics 40 (2013), pp. 773-784
Persistent link: https://www.econbiz.de/10010355577
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Assessing the future of energy security in Egypt
Atlam, Baher Mohamed; Rapiea, Asmaa Melegy - In: International Journal of Energy Economics and Policy : IJEEP 6 (2016) 4, pp. 684-700
Persistent link: https://www.econbiz.de/10011550620
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A non-linear systematic grey model for forecasting the industrial economy-energy-environment system
Wang, Zheng-Xin; Jv, Yue-Qi - In: Technological forecasting & social change : an … 167 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012798558
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The behavior of the annual electricity demand and the role of economic growth in Colombia
Grimaldo-Guerrero, John William; Silva-Ortega, Jorge Ivan; … - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 5, pp. 8-12
Persistent link: https://www.econbiz.de/10012649625
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The impact of renewable energy forecasts on intraday electricity prices
Kulakov, Sergei; Ziel, Florian - In: Economics of energy & environmental policy 10 (2021) 1, pp. 79-104
Persistent link: https://www.econbiz.de/10012658912
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Forecasting impact of demand side management on Malaysia's power generation using system dynamic approach
Tufail, Muhammad Mutasim Billah; Mohd Nasrun Mohd Nawi; … - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 4, pp. 412-418
Persistent link: https://www.econbiz.de/10012629679
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Energy forecasting : focus: natural gas : dissertation
Greitzer, Maria - 2021
Persistent link: https://www.econbiz.de/10013270072
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Mining for oil forecasts
Calomiris, Charles W.; Melek, Nida Çakır; Mamaysky, Harry - 2020
Persistent link: https://www.econbiz.de/10012499239
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A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit; Aponte, Omar; McConky, Katie T. - In: International journal of forecasting 35 (2019) 4, pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279