Joana Abreu

TL;DR: The proposed methodology demonstrates that it is possible to use pattern recognition methodologies to recognize habitual electricity consumption behavior given the intrinsic characteristics of the family, and could be useful to improve small scale forecast, and as a mechanism to enable the provision of tailor-made information to the families.

TL;DR: In this article, an evaluation of the conscious and subconscious attitudinal, control and normative beliefs of American homeowners when randomly primed with two brochures depicting the purchasing, installation, and commissioning of solar PV systems, developed according to the characteristics of conventional and an adhesive plug-and-play building applied photovoltaic technology (BAPV) was performed.

TL;DR: An analytic framework is proposed based on Markov chains for modeling the dynamics of cascading failures in power grids and the noncritical regions of power-system's operating characteristics with human-factor considerations are characterized under which the probability of large cascading fails is minimized.

TL;DR: The authors currently engaged in two projects to improve human-computer interaction (HCI) designs that can help conserve resources, which will help develop resource consumption user archetypes, providing a framework linking people to differing interface design requirements.

TL;DR: A bottom-up method to generate synthetic residential loads realistically, but with minimal computational resources, is presented and it is shown that aggregated loads can be shaped to follow a desired signal, for example to balance intermittent solar generation.