Extending time horizons for energy analysis increases both the cumulat
ive effect of gradual structural changes and the likelihood of revolut
ionary innovations, on scales ranging from individual end-use sectors
or regions to the entire global economy. Distinguishing features of lo
ng-term modeling therefore include technological change (e.g., new tec
hnologies or factor substitution), shifts in energy supply (due to exh
austion of conventional sources or the emergence of new sources), and
dynamic energy-economy interactions (the impact of growth on energy de
mand and simultaneous role of the energy sector in determining growth
paths). A taxonomy of model types including computable general equilib
rium (CGE), aggregate optimization, and energy-sector models can be de
fined based on their scope of coverage (partial vs general equilibrium
) and behavioral outlook (simulation vs optimization). This paper iden
tifies the motivation and key attributes of each model type with refer
ence to several particular specifications.