Decision-Adjusted Modeling for Imbalanced Classification: Predicting Rooftop Solar Panel Adoption in Rural Virginia

Author:

Hu Zhihao,Deng Xinwei,Marathe Achla,Swarup Samarth,Vullikanti Anil

Publisher

Springer International Publishing

Reference13 articles.

1. Department of Energy (DOE). Soft costs 101: the key to achieving cheaper solar energy (2016). https://www.energy.gov/eere/articles/soft-costs-101-key-achieving-cheaper-solar-energy. Accessed 25 Feb 2016

2. Department of Energy (DOE). Top 6 things you didn’t know about solar energy (2016). https://www.energy.gov/articles/top-6-things-you-didnt-know-about-solar-energy. Accessed 6 June 2016

3. Mao, H., Guo, F., Deng, X., Doerzaph, Z.: Decision-adjusted driver risk predictive model using kinematics information. In: Submitted to IEEE Transactions on Intelligent Transportation Systems (2019)

4. 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)

5. Aklin, M., Bayer, P., Harish, S.P., Urpelainen, J.: Economics of household technology adoption in developing countries: evidence from solar technology adoption in rural India. Energy Econ. 72, 35–46 (2018)

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