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Huang, X. and Li, W. (2024) Application of Low Energy Building Thermal Energy Optimization Based on Image Recognition and Light Sensors in Urban Green Environment Planning. Thermal Science and Engineering Progress, 55, Article 102954.
https://doi.org/10.1016/j.tsep.2024.102954

has been cited by the following article:

• TITLE: How Much Will It Cost to Survive Climate Change? Detailed Estimates and AI Imagery for Constructing Climate Change Communities in the Virginia Highlands

  AUTHORS: Elizabeth C. Hirschman, William Bourgin, Dalton Chapman, Bernard Creque, Logen Davis, David Dickson, Aden Lane, Ines Latapia, Jaida Meade, Lauren Montes, Nia Rogers, Nicolas Sturgill, Ellie Williams

  KEYWORDS: Climate Change Haven Communities, Cost Estimates for Climate Change Response, AI Images of Green Construction

  JOURNAL NAME: Journal of Environmental Protection, Vol.16 No.6, June 30, 2025

  ABSTRACT: This research presents construction time and cost estimates for Climate Change Haven Communities built in the Virginia Highlands. AI imagery is used to represent residential, administrative, business/professional and shopping structures that would be appropriate for the Appalachian Region of the United States. These estimates and structural designs may be applicable to the construction of similar installations in Europe and Asia, as well as other areas of the Continental United States.