The Decent Work Questionnaire (DWQ): Development and validation in two samples of knowledge workers

This research aimed to develop a questionnaire measure of workers’ perceptions of decent work. The initial pool of 72 items covered the substantive elements used by the International Labour Organization to characterize decent work. It was administered to workers from Portugal (N = 636) and Brazil (N = 1039) and submitted to exploratory and confirmatory factor analysis. The final 31-item version yields seven factor scores in addition to the global decent work score. With good reliability, convergent and discriminant validity indices, the DWQ could open new avenues for empirical studies of the decent work concept.

Computational Models Development and Demand Response Application for Smart Grids

This paper focuses on computational models development and its applications on demand response, within smart grid scope. A prosumer model is presented and the corresponding economic dispatch problem solution is analyzed. The prosumer solar radiation production and energy consumption are forecasted by artificial neural networks. The existing demand response models are studied and a computational tool based on fuzzy clustering algorithm is developed and the results discussed. Consumer energy management applications within the InovGrid pilot project are presented. Computation systems are developed for the acquisition, monitoring, control and supervision of consumption data provided by smart meters, allowing the incorporation of consumer actions on their electrical energy management. An energy management system with integration of smart meters for energy consumers in a smart grid is developed.