%0 Journal Article 
%A Romero, Ander
%A de Agustin-Camacho, Pablo
%A Tsitsanis, Tasos
%T Integration of Real-Intelligence in Energy Management Systems to Enable Holistic Demand Response Optimization in Buildings and Districts
%D 2018
* IEEE
%X Although multiple trials have been conducted demonstrating that demand side flexibility works and even though technology roll-out progresses significantly fast, the business application of residential and small tertiary demand response has been slow to develop. This paper introduces a holistic demand response optimization framework that enables significant energy costs reduction at the consumer side, while introducing buildings as a major contributor to energy networks' stability in response to network constraints and conditions. The backbone of the solution consists in a modular interoperability and data management framework that enables open standards-based communication along the demand response value chain. The solution is validated in four large-scale pilot sites, incorporating diverse building types, heterogeneous home, building and district energy systems and devices, a variety of energy carriers and spanning diverse climatic conditions, demographic and cultural characteristics.
%K Energy Efficiency
%K Demand Response
%K Interoperability
%K Load management
%K smart homes
%K Optimization
%K Standards
doi 10.1109/EEEIC.2018.8494522
%U http://hdl.handle.net/11556/630
%~ GOEDOC, SUB GOETTINGEN