Using a bayesian network to evaluate the social, economic and environmental impacts of community deployed renewable energy

Social, economic and environmental (SEE) impacts resulting from the adoption of solar PV have been modelled at a community scale for the first time using a probabilistic graphical model in the form of a Bayesian Network (BN). Model parameters required to conceptualise this multi-disciplinary problem...

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Bibliographic Details

Main Authors:	Philip Leicester, Chris Goodier, Paul Rowley
Format:	Default Conference proceeding
Published:	2013
Subjects:	Other built environment and design not elsewhere classified Solar PV Bayesian Networks Community energy Uncertainty Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/14472
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