Self-Forecasting Energy Load Stakeholders for Smart Grids

The unpredictability of energy loads is responsible for a significant portion of efficiency loss in power grids. In order to reduce load uncertainties, emerging Smart Grid business models call for the active participation of traditionally passive stakeholders. The contribution of this work enables self-forecasting energy load stakeholders whose deterministic load behaviour make them reliable resources that can greatly benefit themselves and other Smart Grid stakeholders

Assessment of an Enterprise Energy Service Platform in a Smart Grid City Pilot

Abstract—The emergence of the Smart Grid promises a new generation of innovative applications and services that are based on the fine-grained information acquired almost in “real-time” from the underlying infrastructure. To realize this vision, (open) platforms providing access to the smart meter data as well as potential management and value-added functionalities are needed. These will offer basic energy services that can be commonly used by application developers. We depict here our assessment from implementing and operating such a platform in a pilot that took place in Spain in 2012, and draw some lessons learned that affect their design and performance. I