Forecasting energy needs with logistics
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DOI: 10.1016/j.techfore.2018.11.008
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References listed on IDEAS
- Modis, Theodore, 1994. "Determination of the Uncertainties in S-Curve Logistic Fits," OSF Preprints n53pd, Center for Open Science.
- Modis, Theodore, 2017. "A hard-science approach to Kondratieff's economic cycle," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 63-70.
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Cited by:
- Sungkyun Ha & Sungho Tae & Rakhyun Kim, 2019. "Energy Demand Forecast Models for Commercial Buildings in South Korea," Energies, MDPI, vol. 12(12), pages 1-19, June.
- Wu, Xianhua & Deng, Huai & Li, Hua & Guo, Yiming, 2021. "Impact of Energy Structure Adjustment and Environmental Regulation on Air Pollution in China: Simulation and Measurement Research by the Dynamic General Equilibrium Model," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
- Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
- Leitão, João & Ferreira, Joaquim & Santibanez-González, Ernesto, 2022. "New insights into decoupling economic growth, technological progress and carbon dioxide emissions: Evidence from 40 countries," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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Keywords
Energy consumption; Energy forecasts; Logistic function; Logistic substitution model; Oil production; Hydraulic fracturing;All these keywords.
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