Opportunities and insights for reducing fossil fuel consumption by households and organizations

By P. Stern, K. Janda, Marilyn A. Brown, L. Steg, E. Vine, L. Lutzenhiser. Nature Energy, 2016

226 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0973f3f5e909ab58ce4bb4594aec9399093ac895

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management, Monitoring, Policy and Law

1. C. Cattaneo

In Sociology and Political Science

1. C. Cattaneo
2. Francesco Bosello

Citations in the corpus

• Machine learning approaches for estimating commercial building energy consumption (2017, background): “Examples might include behavioral variables reflecting how building equipment is utilized, which has become an increasing focus of energy-efficiency initiatives [41].”
• Internal and external barriers to energy efficiency: which role for policy interventions? (2019, background): “To date, because of little available data, and concerns of generalizing across a population of organizations that varies in size, function, scope, and interest in emission reduction (Stern et al. 2016), the empirical evidence is scarce.”