RT info:eu-repo/semantics/article T1 Towards sustainable energy-efficient communities based on a scheduling algorithm A1 Bravo Muñoz, Ignacio A1 Gardel Vicente, Alfredo A1 Palomar González, Esther A1 Cruz de la Torre, Carlos K1 Cooperative smart community K1 Scheduling algorithm K1 Consumer preferences K1 Renewables K1 Electrónica K1 Electronics AB The Internet of Things (IoT) and Demand Response (DR) combined have transformed the way Information and Communication Technologies (ICT) contribute to saving energy and reducing costs, while also giving consumers more control over their energy footprint. Unlike current price and incentive based DR strategies, we propose a DR model that promotes consumers reaching coordinated behaviour towards more sustainable (and green) communities. A cooperative DR system is designed not only to bolster energy efficiency management at both home and district levels, but also to integrate the renewable energy resource information into the community's energy management. Initially conceived in a centralised way, a data collector called the "aggregator" will handle the operation scheduling requirements given the consumers' time preferences and the available electricity supply from renewables. Evaluation on the algorithm implementation shows feasible computational cost (CC) in different scenarios of households, communities and consumer behaviour. Number of appliances and timeframe flexibility have the greatest impact on the reallocation cost. A discussion on the communication, security and hardware platforms is included prior to future pilot deployment. PB MDPI SN 7803-7842 YR 2019 FD 2019-09-14 LK http://hdl.handle.net/10017/46997 UL http://hdl.handle.net/10017/46997 LA eng NO Comunidad de Madrid DS MINDS@UW RD 28-mar-2024