Fu, R., Feldman, D., Margolis, R., Woodhouse, M. & Ardani, K. US Solar Photovoltaic System Cost Benchmark: Q1 2017 Technical Report (National Renewable Energy Laboratory, 2017).
Haegel, N. M. et al. Terawatt-scale photovoltaics: trajectories and challenges. Science 356, 141–143 (2017).
Solar Market Insight Report 2017 Q3 Technical Report (Solar Energy Industries Association, 2017).
Feldman, D. & Bolinger, M. On the Path to SunShot: Emerging Opportunities and Challenges in Financing Solar (National Renewable Energy Laboratory, 2016).
Richter, L.-L. Social Effects in the Diffusion of Solar Photovoltaic Technology in the UK Working Paper (Univ. Cambridge, 2013).
Bollinger, B. & Gillingham, K. Peer effects in the diffusion of solar photovoltaic panels. Market. Sci. 31, 900–912 (2012).
Graziano, M. & Gillingham, K. Spatial patterns of solar photovoltaic system adoption: the influence of neighbors and the built environment. J. Econ. Geogr. 15, 815–839 (2015).
Pyper, J. New US residential solar capacity down 17% year-over-year for Q1. Green Tech Media https://www.greentechmedia.com/articles/read/residential-solar-capacity-down-17-year-over-year-for-q1#gs.a=WhwhI (2017).
Rai, V., Reeves, D. C. & Margolis, R. Overcoming barriers and uncertainties in the adoption of residential solar PV. Renew. Energy 89, 498–505 (2016).
Ghaith, A. F., Epplin, F. M. & Scott Frazier, R. Economics of grid-tied household solar panel systems versus grid-only electricity. Renew. Sust. Energy Rev. 76, 407–424 (2017).
Kann, S. & Toth, A. How Wealthy are Residential Solar Customers? Household Income and SolarAdoption in the US (GTM Research, 2017).
Renew300 Federal Renewable Energy Target (US Department of Housing and Urban Development, 2016).
Report on Alternative Approaches to Providing Low and Moderate Income (LMI) Clean Energy Services Technical report (Clean Energy Advisory Council and LMI Clean Energy Initiatives Working Group, 2017).
California Public Utilities Commission. CPUC creates $100 million solar for multifamily affordable housing program. EE Online https://electricenergyonline.com/article/energy/category/solar/142/673274/cpuc-creates-100-million-solar-for-multifamily-affordable-housing-program.html (2017).
Dodson, G., Hutchison, E. & Omoletski, J. New Solar Homes Partnership Guidebook 11th edn CEC-300-2017-054-ED11CMF (California Energy Commission, 2017).
Baker, C. D., Polito, K. E., Beaton, M. A. & Judson, J. Solar Massachusetts Renewable Target (SMART) Final Program Design Technical Report (Massachusetts Department of Energy Resources, 2017).
Low- and Moderate-Income Solar Policy Basics (National Renewable Energy Laboratory, 2017).
Cowell, R. Wind power, landscape and strategic, spatial planning—the construction of ‘acceptable locations’ in Wales. Land Use Policy 27, 222–232 (2010).
Gross, C. Community perspectives of wind energy in Australia: the application of a justice and community fairness framework to increase social acceptance. Energy Policy 35, 2727–2736 (2007).
Jenkins, K., McCauley, D., Heffron, R., Stephan, H. & Rehner, R. Energy justice: a conceptual review. Energy Res. Soc. Sci. 11, 174–182 (2016).
Sovacool, B. K., Heffron, R. J., McCauley, D. & Goldthau, A. Energy decisions reframed as justice and ethical concerns. Nat. Energy 1, 16024 (2016).
Yenneti, K. & Day, R. Procedural (in)justice in the implementation of solar energy: the case of Charanaka solar park, Gujarat, India. Energy Policy 86, 664–673 (2015).
Simpson, G. & Clifton, J. Subsidies for residential solar photovoltaic energy systems in Western Australia: distributional, procedural and outcome justice. Renew. Sust. Energy Rev. 65, 262–273 (2016).
Catney, P. et al. Big society, little justice? Community renewable energy and the politics of localism. Local Environ. 19, 715–730 (2014).
Sengupta, M. et al. The National Solar Radiation Data Base (NSRDB). Renew. Sust. Energy Rev. 89, 51–60 (2018).
Electric Power Monthly with Data for May 2018 Technical Report (US Energy Information Administration, July 2018); https://www.eia.gov/electricity/monthly/
2015 Planning Database (US Census Bureau, 2015); https://www.census.gov/research/data/planning_database/2015/
Glasmeier, A. K. Living wage calculator (Massachusetts Institute of Technology, 2018); http://livingwage.mit.edu/
Cilluffo, A., Geiger, A. & Fry, R. More US households are renting than at any point in 50 years. Pew Research Center http://www.pewresearch.org/fact-tank/2017/07/19/more-u-s-households-are-renting-than-at-any-point-in-50-years/ (2017).
Inskeep, B., Daniel, K. & Proudlove, A. Solar on Multi-unit Buildings: Policy and Financing Options to Address Split Incentives Technical Report (Solar Outreach Partnership, 2015).
Colgate, S. A., Stanley, E. A., Hyman, J. M., Layne, S. P. & Qualls, C. Risk behavior-based model of the cubic growth of acquired immunodeficiency syndrome in the United States. Proc. Natl Acad. Sci. USA 86, 4793–4797 (1989).
Taylor, D. E. Green jobs and the potential to diversify the environmental workforce. Utah Environ. Law Rev. 31, 47–77 (2011).
US Solar Industry Diversity Study: Current Trends, Best Practices, and Recommendations Technical Report (The Solar Foundation, 2017).
Taylor, D. E. Blacks and the environment: toward an explanation of the concern and action gap between blacks and whites. Environ. Behav. 21, 175–205 (1989).
CA SB-338 Integrated Resource Plan: Peak Demand (LegiScan, 2017); https://legiscan.com/CA/bill/SB338/2017
Project Sunroof Data Explorer: a Description of Methodology and Inputs Technical Report (Google Project Sunroof, 2017).
Folch, D. C., Arribas-Bel, D., Koschinsky, J. & Spielman, S. E. Spatial variation in the quality of American Community Survey estimates. Demography 53, 1535–1554 (2016).
Poverty Thresholds (US Census Bureau, 2013); https://www.census.gov/data/tables/time-series/demo/income-poverty/historical-poverty-thresholds.html
Gagnon, P., Margolis, R., Melius, J., Phillips, C. & Elmore, R. Rooftop Solar Photovoltaic Technical Potential in the United States: a Detailed Assessment Technical Report (National Renewable Energy Laboratory, 2016).
Seabold, S. & Perktold, J. Statsmodels: economic and statistical modeling with Python. In Proc. 9th Python Sci. Conf. 57–61 (2010).
Efron, B. & Tibshirani, R. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Stat. Sci. 1, 54–75 (1986).