Wicaksono Hendro; Yuce, Baris; McGlinn Kris; Calli Ozum Smart Cities and Buildings Book Chapter Chapter Smart cities and buildings, pp. 239-263, CRC Press, 1st Edition, 2022, ISBN: 9781003204381. Abstract | Links | BibTeX | Tags: energy efficiency, machine learning, Ontology, smart cities, smart energy, sustainability @inbook{Wicaksono2022b,
title = {Smart Cities and Buildings},
author = {Wicaksono, Hendro; Yuce, Baris; McGlinn, Kris; Calli, Ozum},
url = {https://www.taylorfrancis.com/chapters/edit/10.1201/9781003204381-13/smart-cities-buildings-hendro-wicaksono-baris-yuce-kris-mcglinn-ozum-calli},
isbn = {9781003204381},
year = {2022},
date = {2022-05-01},
pages = {239-263},
publisher = {CRC Press},
edition = {1st Edition},
chapter = {Smart cities and buildings},
abstract = {Smart buildings function within the wider context of the smart city, which itself must function within the wider energy and transport (smart) grids. It is essential therefore that smart buildings be integrated into this wider context. This requires intelligent approaches for managing and coordinating the diverse range of processes and technologies involved and a move towards a “digital infrastructure” which can transform how these smart environments operate and can be monitored but, more importantly, can circumvent the constraints of physical infrastructure through the capacity of data centres or the capacity of available communication pipes. This chapter explores the concept of the smart city, and the role that smart buildings, smart energy grids and smart transportation takes within, with a particular emphasis on the state of art with respect to the integration of data across these different domains, from the micro to the macro, from building sensors to smart grids. It explores different data analytics approaches, and it does this with reference to specific use cases, focusing on techniques in the main application areas along with relevant implemented examples while highlighting some of the key challenges currently faced and outlining future pathways for the sector.
},
keywords = {energy efficiency, machine learning, Ontology, smart cities, smart energy, sustainability},
pubstate = {published},
tppubtype = {inbook}
}
Smart buildings function within the wider context of the smart city, which itself must function within the wider energy and transport (smart) grids. It is essential therefore that smart buildings be integrated into this wider context. This requires intelligent approaches for managing and coordinating the diverse range of processes and technologies involved and a move towards a “digital infrastructure” which can transform how these smart environments operate and can be monitored but, more importantly, can circumvent the constraints of physical infrastructure through the capacity of data centres or the capacity of available communication pipes. This chapter explores the concept of the smart city, and the role that smart buildings, smart energy grids and smart transportation takes within, with a particular emphasis on the state of art with respect to the integration of data across these different domains, from the micro to the macro, from building sensors to smart grids. It explores different data analytics approaches, and it does this with reference to specific use cases, focusing on techniques in the main application areas along with relevant implemented examples while highlighting some of the key challenges currently faced and outlining future pathways for the sector.
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Wicaksono, Hendro DAREED: IT-Plattform für Energieeffizienz in Smart-City Workshop CEB Karlsruhe, 2017. Links | BibTeX | Tags: energy efficiency, IT integration, IT platform, semantic data integration, smart cities, smart energy @workshop{Wicaksono2017e,
title = {DAREED: IT-Plattform für Energieeffizienz in Smart-City},
author = {Hendro Wicaksono},
url = {https://www.buildingsmart.de/kos/WNetz?art=File.download&id=6388&name=CEB17-Kongressprogramm.pdf
http://presse.karlsruhe.de/db/meldungen/wirtschaft/best_practice_beispiele_fur_unternehmen.html},
year = {2017},
date = {2017-06-29},
address = {Karlsruhe},
organization = {CEB},
keywords = {energy efficiency, IT integration, IT platform, semantic data integration, smart cities, smart energy},
pubstate = {published},
tppubtype = {workshop}
}
|