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Gouveia, JP, Palma P, Simoes S.  2019.  Energy poverty vulnerability index: A multidimensional tool to identify hotspots for local action. . Energy Reports. 5:187-201.
Gouveia, JP, Seixas J, Long G.  2018.  Mining households' energy data to disclose fuel poverty: Lessons for Southern Europe. Journal of Cleaner Production. 178:534-550. AbstractWebsite

Fuel poverty is a recognized and increasing problem in several European countries. A growing body of literature covers this topic, but dedicated analysis for Portugal are scarce despite the high perception of this condition. This paper contributes to fill this knowledge gap focusing on a European southern city while bringing new datasets and analysis to the assessment of this topic; consumer groups identification and to policy discussion. Daily electricity smart meters' registries were combined with socio-economic data, collected from door-to-door surveys, to understand the extent and the determinants of energy consumption for two contrasting consumer groups (herein called fuel poverty and fuel obesity groups). The analysis is based on the amount and annual profile of electricity consumption and was complemented with building energy simulations for relevant building typologies in those groups, to identify heating and cooling thermal performance gaps. The existence of these gaps allowed confirming and/or discarding the initial hypothesis of the poverty or obesity conditions. Results disclose socio-economic variables, as income, and consumers' behavior as key determinants of electricity consumption. It was identified a severe lack of thermal comfort levels inside households of both groups, either in cooling (98% for fuel poverty and 87% for fuel obesity) and heating seasons (98% for fuel poverty and 94% for fuel obesity). Major conclusion refers that electricity consumption cannot be used alone to segment consumer groups. This assessment may serve to support energy policy measures and instruments targeted to different consumers' groups. For example, distinct campaigns and differentiated incentives may apply to achieve energy efficiency and reduction while keep or improve indoor comfort levels.

Gouveia, JP, Fortes P, Seixas J.  2010.  Forecasting of Residential Energy Services Demand: The Portuguese Case for 2030, 25-28 August. International Conference IAEE - 11th IAEE European Conference Energy Economy, Policies and Supply Security: Surviving the Global Economic Crisis.. , Vilnius, Lithuania: International Association of Energy Economics
Gouveia, JP, Simões S, Dias L, Seixas J.  2016.  The InSmart integrated approach towards modelling smart low carbon cities, 25 November . EERA Conference 2016. , UK: University of Birmingham
Gregório, V, Simões S, Seixas J.  2015.  Trade- offs between climate change adaptation and mitigation strategies for resilient cities: the case of thermal comfort in households under the ClimAdapt.Local project, 2-4 September. World Symposium on Climate Change Adaption. , Manchester, United Kingdom
Gregório, V, Seixas J.  2017.  Energy Savings Potential in Urban Rehabilitation: A Spatial-Based Methodology Applied to Historic Centres. Energy and Buildings. 152:11-23.
Gregório, V, Seixas J, Robinson D, Long G, Gouveia JP.  2014.  Energy Efficiency Challenges: The Linkage between the Past and the Future, for Low Carbon Historic Centres in Portugal. Urban Futures Squaring Circles: Proceedings, International Conference on Urban Futures Squaring Circles 2050. , Institute of Social Sciences of the University of Lisbon and Calouste Gulbenkian Foundation
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