1 resultado para Information and communication Technologies
em CUNY Academic Works
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
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- Aquatic Commons (1)
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- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Câmara dos Deputados (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (16)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Bulgarian Digital Mathematics Library at IMI-BAS (7)
- Cambridge University Engineering Department Publications Database (8)
- CentAUR: Central Archive University of Reading - UK (16)
- Cochin University of Science & Technology (CUSAT), India (3)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (70)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Cornell: DigitalCommons@ILR (1)
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- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
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- Ministerio de Cultura, Spain (13)
- Portal de Revistas Científicas Complutenses - Espanha (8)
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- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório Científico do Instituto Politécnico de Santarém - Portugal (1)
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- University of Queensland eSpace - Australia (2)
- University of Southampton, United Kingdom (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
New business and technology platforms are required to sustainably manage urban water resources [1,2]. However, any proposed solutions must be cognisant of security, privacy and other factors that may inhibit adoption and hence impact. The FP7 WISDOM project (funded by the European Commission - GA 619795) aims to achieve a step change in water and energy savings via the integration of innovative Information and Communication Technologies (ICT) frameworks to optimize water distribution networks and to enable change in consumer behavior through innovative demand management and adaptive pricing schemes [1,2,3]. The WISDOM concept centres on the integration of water distribution, sensor monitoring and communication systems coupled with semantic modelling (using ontologies, potentially connected to BIM, to serve as intelligent linkages throughout the entire framework) and control capabilities to provide for near real-time management of urban water resources. Fundamental to this framework are the needs and operational requirements of users and stakeholders at domestic, corporate and city levels and this requires the interoperability of a number of demand and operational models, fed with data from diverse sources such as sensor networks and crowsourced information. This has implications regarding the provenance and trustworthiness of such data and how it can be used in not only the understanding of system and user behaviours, but more importantly in the real-time control of such systems. Adaptive and intelligent analytics will be used to produce decision support systems that will drive the ability to increase the variability of both supply and consumption [3]. This in turn paves the way for adaptive pricing incentives and a greater understanding of the water-energy nexus. This integration is complex and uncertain yet being typical of a cyber-physical system, and its relevance transcends the water resource management domain. The WISDOM framework will be modeled and simulated with initial testing at an experimental facility in France (AQUASIM – a full-scale test-bed facility to study sustainable water management), then deployed and evaluated in in two pilots in Cardiff (UK) and La Spezia (Italy). These demonstrators will evaluate the integrated concept providing insight for wider adoption.