Estimating underlying energy demand trends using UK annual data

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Carbon emissions and oil consumption in Saudi Arabia (2015, methodology): “[10] and Dilaver and Hunt [7,8] argue that the structural time series modeling (STSM) approach developed by Harvey [14,13] is the appropriate methodology to efficiently capture the effect of unobservable factors (trends in energy efficiency, technological progress and consumer preference).”
Industrial electricity demand for Turkey: A structural time series analysis (2011, unknown): “Similarly, Dimitropoulos et al. (2005) demonstrated again that the STSM approach is superior by implementing the stochastic rather than deterministic trend when investigating sectoral aggregate energy demand using annual UK data over period 1967 to 2002.”
Public acceptability of personal carbon trading and carbon tax (2010, background): “…77 In the context of climate change the damage function is uncertain and 78 potentially steep with high costs of missing abatement targets; price 79 elasticities of demand for both vehicle fuel and domestic energy are low 80 (Baranzini et al., 2000; Brons et al., 2008, Dimitropoulos et al., 2005).”
Modelling and forecasting Turkish residential electricity demand (2011, background): “A range of studies followed this focusing on different energy demand models, including Hunt et al. (2003a 2003b), Hunt and Ninomaya (2003), Dimitropoulos et al. (2005), Amarawickrama and Hunt (2008), and Dilaver and Hunt (2010).”