Investigating the use of Machine Learning for Resource Intensive Agent-Based Simulation and Optimisation of Domestic Energy Retrofit Adoption
The existing domestic urban built environment contributes significantly to the environ- mental issues facing the international community. Whole house energy retrofits per- formed on this stock are a key tool for the mitigation of greenhouse gas emissions. As such, researchers have built a set of bot...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2022
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| Online Access: | https://eprints.nottingham.ac.uk/69527/ |