BattlesS.J. (2004). “Housing Trends as an Indicator of Future Housing Stock and Energy Use: 1990 and 2001 RECS Comparisons.” Proceedings of the 2004 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, California.
2.
ChristensenC.HorowitzS.GivleyT.CourtneyA.BakerG. (2005). BEopt: Software for Identifying Optimal Building Designs on the Path to Zero Net Energy. NREL/CP-550-37733. Golden, CO: National Renewable Energy Laboratory.
3.
ClarkeJ.F.EdmondsJ.A. (1993). “Modeling Energy Technologies in a Competitive Market.” Energy Economics15 (2): 123-129.
4.
ClarkeL.EdmondsJ.JacobyH.PitcherH.ReillyJ.RichelsR. (2007). Scenarios of Greenhouse Gas Emissions and Atmospheric Concentrations. Sub-report 2.1A of Synthesis and Assessment Product 2.1 by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research. Washington, D.C.: U.S. Department of Energy, Office of Biological & Environmental Research.
5.
ClarkeL.WiseM.EdmondsJ.PlacetM.KyleP.CalvinK.KimS.SmithS. (2008a). CO2 Emissions Mitigation and Technological Advance: An Updated Analysis of Advanced Technology Scenarios. PNNL-18075. Richland, WA: Pacific Northwest National Laboratory. Available at http://www.pnl.gov/science/pdf/PNNL18075.pdf (accessed December2008).
6.
ClarkeL.WeyantJ.EdmondsJ. (2008b). “On Sources of Technological Change: What do the Models Assume?” Energy Economics30, 409-424.
7.
DahlC. (1993). A Survey of Energy Demand Elasticities in Support of the Development of the NEMS. Washington, D.C.: Energy Information Administration, Contract No. DE-AP01-93EI23499.
8.
DenholmP.MargolisR. (2008). Supply Curves for Rooftop PV-Generated Electricity for the United States. NREL/TP-6A0-44073. Golden, CO: National Renewable Energy Laboratory. Available at http://www.nrel.gov/docs/fy09osti/44073.pdf (accessed March2009).
9.
EdmondsJ.A.ClarkeJ.F.DooleyJ.J.KimS.H.SmithS.J. (2004). “Stabilization of CO2 in a B2 World: Insights on the Roles of Carbon Capture and Disposal, Hydrogen, and Transportation Technologies”. Energy Economics 26 (4): 517-537.
10.
EdmondsJ.ReillyJ. (1985). Global Energy: Assessing the Future. Oxford, U.K.: Oxford University Press.
11.
Energy Independence and Security Act of 2007, H.R.6, Public Law 110-140, 110th Congress (2007).
12.
EIA (1979). Residential Energy Consumption Survey. Washington, D.C.: Energy Information Administration. Available at http://www.eia.doe.gov/emeu/recs/contents.html (accessed July2007).
13.
EIA (1996). Annual Energy Outlook 1996 with Projections to 2015. Washington, D.C.: Energy Information Administration, DOE/EIA-0383(96). Available at http://tonto.eia.doe.gov/FTPROOT/forecasting/038396.pdf (accessed August2007).
14.
EIA (2001). Residential Energy Consumption Survey. Washington, D.C.: Energy Information Administration. Available at http://www.eia.doe.gov/emeu/recs/contents.html (accessed July2007).
15.
EIA (2007). Annual Energy Outlook 2007 with Projections to 2030. Washington, D.C.: Energy Information Administration, DOE/EIA-0383(2007). http://www.eia.doe.gov/oiaf/aeo/index.html (accessed May2007).
16.
EIA (2008). Annual Energy Review 2008. Washington, D.C.: Energy Information Administration. Available at http://www.eia.doe.gov/emeu/aer/consump.html (accessed December2008).
17.
GerencherK. (2006). “Bigger Houses Bring Energy Woes: Efficient Materials, Appliances Have Limited Cost Effects.” MarketWatch, March17, 2006.
18.
GreeningL.A.GreeneD.L.DifiglioC. (2000). “Energy Efficiency and Consumption - The Rebound Effect - A Survey.” Energy Policy28: 389-401.
19.
IEA (2007). Energy Balances of OECD Countries, 1960 to 2005. Paris, France: International Energy Agency.
20.
IPCC (1997). Greenhouse Gas Inventory Reference Manual: Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, Vol. 3. Paris, France: Intergovernmental Panel on Climate Change.
21.
KawamotoK.KoomeyJ.G.NordmanB.BrownR.E.PietteM.A.TingM.MeierA.K. (2001). Electricity Used by Office Equipment and Network Equipment in the U.S.: Detailed Report and Appendices. LBNL-45917. Berkeley, CA: Lawrence Berkeley National Laboratory.
22.
KimS.H.EdmondsJ.A.LurzJ.SmithS.J.WiseM. (2006). “The ObjECTS Framework for Integrated Assessment: Hybrid Modeling of Transportation.” Energy Journal27: 63-91.
23.
KyleP.ClarkeL.SmithS. (2008). “The Value of Advanced Technologies in the U.S. Buildings Sector in Climate Change Mitigation.” Proceedings of the 2008 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, California.
24.
LevineM.Ürge-VorsatzD.BlokK.GengL.HarveyD.LangS.LevermoreG.MongameliA.MehlwanaS. MirasgedisNovikovaA.RillingJ.YoshinoH. (2007). “Residential and commercial buildings.” In MetzB.DavidsonO.R.BoschP.R.DaveR.MeyerL.A.eds., Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press.
25.
McFaddenD. (1974). “Conditional Logit Analysis of Qualitative Choice Behavior.” In ZarembkaP. ed., Frontiers of Econometrics. New York: Academic Press, pp 105-142.
26.
McFaddenD. (1981). “Econometric Models of Probabilistic Choice.” InManskiC.McFaddenD. eds., Structural Analysis of Discrete Data with Econometric Applications. Cambridge: MIT Press, pp 198-272.
27.
McKinsey Global Institute (2007). Reducing U.S. Greenhouse Gas Emissions: How Much at What Cost? San Francisco, California: McKinsey & Company, Inc., 2006.
28.
NakicenovicN.AleamoJ.DavisG.de VriesB.FenhannJ.GanS.GregoryK.GrublerA.JungT.KramT.RovereE.MichaelisL.MoriS.MoritaT.PepperW.PitcherH.PriceL.RiahiK.RoehrlA.RognerH.SankovskiA.SchlesingerM.ShuklaP.SmithS.SwartR.Van RooijenS.Victor N.DadiZ. (2000). Special Report on Emissions Scenarios. Cambridge, U.K.: Cambridge University Press.
29.
NCI (2002). U.S. Lighting Market Characterization, Volume I: National Lighting Inventory and Energy Consumption Estimate. Washington, D.C.: Navigant Consulting, Inc. Available at http://www.eere.energy.gov/buildings/info/documents/pdfs/lmc_vol1_final.pdf (accessed August2006).
30.
NCI (2004). EIA—Technology Forecast Updates - Residential and Commercial Building Technologies. Washington, D.C.: Navigant Consulting, Inc. Reference No. 117943.
31.
NCI (2006). Energy Savings Potential of Solid State Lighting in General Illumination Applications. Washington, D.C.: Navigant Consulting, Inc.
32.
RichelsR.BlanfordG. (2008). “The Value of Technological Advance in Decarbonizing the U.S. Economy.” Energy Economics30 (6): 2930-2946.
33.
RongF.ClarkeL.SmithS. (2007) Climate Change and the Long-Term Evolution of the U.S. Buildings Sector. Pacific Northwest National Laboratory. PNNL-SA-16869.
34.
SandsR.LeimbachM. (2003). “Modeling Agriculture and Land Use in an Integrated Assessment Framework.” Climatic Change56 (1): 185-210.
35.
TIAX LLC (2006). Commercial and Residential Sector Miscellaneous Electricity Consumption: Y2005 and Projections to 2030. Reference No. D0366.
36.
U.S. Census Bureau (2004). U.S. Interim Projections by Age, Sex, Race, and Hispanic Origin. Internet Release Date: March18, 2004.
37.
U.S. DOE (2004). The National Energy Modeling System: An Overview 2003. Washington, D.C.: US Department of Energy, DOE/EIA-0581(2003). Available at http://www.eia.doe.gov/oiaf/aeo/overview (accessed April2006).
38.
WigleyT.M.L.RaperS.C.B. (2002). “Reasons for Larger Warming Projections in the IPCC Third Assessment Report.” Journal of Climate15 (20): 2945-2952.
39.
WigleyT.M.L.RichelsR.EdmondsJ. (1996). “Economic and Environmental Choices in the Stabilization of Atmospheric CO2 Concentrations.” Nature379: 240-243.
40.
WilsonA.BoehlandJ. (2005). “Small is Beautiful: U.S. House Size, Resource Use, and the Environment.” Journal of Industrial Ecology9 (1-2): 277-287.