Publications

Journal Articles

Energy poverty prediction and effective targeting for just transitions with machine learning

Spandagos, C., Tovar-Reaños, M.A. and Lynch, M.A (2023). Energy Economics, 128,17131

We develop an innovative machine learning modeling framework for accurate prediction and fair targeting of energy poor households in all the member states of the European Union, and the United Kingdom.

Public acceptance of sustainable energy innovations in the European Union: A multidimensional comparative framework for national policy

Spandagos, C., Tovar-Reaños, M.A. and Lynch, M.A (2022). Journal of Cleaner Production, 340,130721

We present a multidimensional international framework for exploring the factors that affect consumers' decisions to adopt or support innovations such as electric vehicles, residential solar panels and environmental taxes.

Social influence and economic intervention policies to save energy at home: Critical questions for the new decade and evidence from air-condition use

Spandagos, C., Baark, E., Ng, T.L. and Yarime, M. (2021). Renewable and Sustainable Energy Reviews, 143, 110915

We provide a new perspective on the exploration of the factors that affect the effectiveness of social influence and economic intervention policies in encouraging energy-saving behaviors in households.

“Triple Target” policy framework to influence household energy behavior: Satisfy, strengthen, include

Spandagos, C., Yarime, M., Baark, E. and Ng, T.L. (2020). Applied Energy, 269, 115117

We introduce the “Triple Target” framework to aid policy-makers in stimulating targeted behavioral change in energy use by means of: satisfying the most important consumer objectives for energy efficiency and conservation behaviors; strengthening what positively affects change, and; improving the inclusiveness of approaches by expanding them across socio-demographic lines.

Fuzzy model of residential energy decision-making considering behavioral economic concepts

Spandagos, C. and Ng, T.L. (2018). Applied Energy, 213, pages 611-625

This paper demonstrates the feasibility of fuzzy logic as a powerful method for combining quantitative economic and physical factors with qualitative behavioral concepts in a single mathematical framework for better prediction of human energy behaviors, and greater fundamental understanding of the “why” behind energy use that conventional building energy simulation models do not address.

Equivalent full-load hours for assessing climate change impact on building cooling and heating energy consumption in large Asian cities

Spandagos, C. and Ng, T.L. (2017). Applied Energy, 189, pages 352-368

This paper estimates previously unavailable monthly Equivalent Full-load Hours data and uses them to assess past (1983-2005), present (2006-2014) and future (2015-2044) climate change impacts on cooling and heating energy needs in three large Asian cities, viz. Hong Kong, Seoul and Tokyo.

Book Chapters

Achieving decarbonization goals through biofuels: Policy challenges and opportunities in the European Union and the United States

Spandagos, C.

In: Jeguirim, M. and Zorpas, A. (2024). Advances in Biofuels Production, Optimization and Applications. Elsevier.

This chapter provides an overview of past and current policies for conventional and advanced biofuel development, their limitations, and their relevance to decarbonization goals in the United States and the European Union.