Sectoral Energy Demand Forecasting under an Assumption-Free Data-Driven Technique
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- Bingchun Liu & Chuanchuan Fu & Arlene Bielefield & Yan Quan Liu, 2017. "Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network," Energies, MDPI, vol. 10(10), pages 1-15, September.
- Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
- Rout, Ullash K. & Voβ, Alfred & Singh, Anoop & Fahl, Ulrich & Blesl, Markus & Ó Gallachóir, Brian P., 2011. "Energy and emissions forecast of China over a long-time horizon," Energy, Elsevier, vol. 36(1), pages 1-11.
- Yu, Shi-wei & Zhu, Ke-jun, 2012. "A hybrid procedure for energy demand forecasting in China," Energy, Elsevier, vol. 37(1), pages 396-404.
- Le Cam, M. & Daoud, A. & Zmeureanu, R., 2016. "Forecasting electric demand of supply fan using data mining techniques," Energy, Elsevier, vol. 101(C), pages 541-557.
- Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
- O׳Connell, Niamh & Pinson, Pierre & Madsen, Henrik & O׳Malley, Mark, 2014. "Benefits and challenges of electrical demand response: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 686-699.
- Payne, James E., 2009. "On the Dynamics of Energy Consumption and Employment in Illinois," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 39(2), pages 1-5.
- Katherine S. Fu & Melissa R. Allen & Richard K. Archibald, 2015. "Evaluating the Relationship between the Population Trends, Prices, Heat Waves, and the Demands of Energy Consumption in Cities," Sustainability, MDPI, vol. 7(11), pages 1-18, November.
- Lescaroux, François, 2011. "Dynamics of final sectoral energy demand and aggregate energy intensity," Energy Policy, Elsevier, vol. 39(1), pages 66-82, January.
- Oyedepo, Sunday Olayinka, 2012. "On energy for sustainable development in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2583-2598.
- Yi-Chung Hu & Peng Jiang, 2017. "Forecasting energy demand using neural-network-based grey residual modification models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 556-565, May.
- O'Neill, Brian C. & Desai, Mausami, 2005. "Accuracy of past projections of US energy consumption," Energy Policy, Elsevier, vol. 33(8), pages 979-993, May.
- Saab, Samer & Badr, Elie & Nasr, George, 2001. "Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon," Energy, Elsevier, vol. 26(1), pages 1-14.
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- João Vitor Leme & Wallace Casaca & Marilaine Colnago & Maurício Araújo Dias, 2020. "Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models," Energies, MDPI, vol. 13(6), pages 1-20, March.
- Bismark Ameyaw & Li Yao, 2018. "Analyzing the Impact of GDP on CO 2 Emissions and Forecasting Africa’s Total CO 2 Emissions with Non-Assumption Driven Bidirectional Long Short-Term Memory," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
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Keywords
energy consumption; Gated Recurrent Unit (GRU); energy policies; forecasting; U.S.;All these keywords.
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