Rating the participation in Demand Response events with a contextual approach to improve accuracy of aggregated schedule

The flexibility provided by the demand side will be crucial to take a step forward increase penetration of renewable energy resources in system. proposed methodology provides aggregator with information about most reliable consumers, attributing trustworthy rate that characterizes their performance on Demand Response (DR) events. innovation relies applying rates and evaluating context which event is triggered factors influence such rates. authors find essential understand participants are available for achieve reduction target successfully. Also, focuses proper motivation continuous participation, reducing uncertainty response DR events giving higher economic compensation active consumers better results. Distributed generation also optimally managed aggregator. Findings prove feasibility supporting Aggregator communities smart cities management.