TY - GEN
T1 - Smart City Energy Trend Transformation in the Fourth Industrial Revolution Digital Disruption
AU - Matheri, A. N.
AU - Ngila, J. C.
AU - Njenga, C. K.
AU - Belaid, M.
AU - Van Rensburg, N. Janse
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The future of digital transformation of industrial platform and electricity lies on the electrification, decentralization and digitalization. Technologies are becoming commercially available to systems and services that can enable efficient and sustainable management of energy production and use. In short, smart cities can be defined as a city that uses IC'I's solutions such as smart sensors, cognitive learning, and context awareness to make life more comfortable, more efficient and more sustainable. A smart city is a sustainable and efficient urban center providing its inhabitants with a high quality of life through optimal management resources. This study examines how intelligent technologies and services can integrate local energy production and use to provide a more sustainable and efficient system. Due to rapid urbanization, energy management in smart cities is an essential challenge to tackle. Due to the complexity of the energy systems and their vital role, energy management is one of the most demanding issues within urban centers. Therefore, this problem needs to be devoted to considerable attention and effort. Optimized operations using predictive analytics, data mining and modeling are the main tools commonly used to evaluate the technological and policy impacts of smart solutions, as well as to plan the best ways to move from current to smarter cities. The reviews show energy-related work on smart city planning and operating models by classifying their scope into main areas of intervention: energy generation, infrastructure, energy storage, mobile internet, cloud technology, internet of things (IoT), autonomous and near autonomous vehicles, facilities, and intelligent transport system.
AB - The future of digital transformation of industrial platform and electricity lies on the electrification, decentralization and digitalization. Technologies are becoming commercially available to systems and services that can enable efficient and sustainable management of energy production and use. In short, smart cities can be defined as a city that uses IC'I's solutions such as smart sensors, cognitive learning, and context awareness to make life more comfortable, more efficient and more sustainable. A smart city is a sustainable and efficient urban center providing its inhabitants with a high quality of life through optimal management resources. This study examines how intelligent technologies and services can integrate local energy production and use to provide a more sustainable and efficient system. Due to rapid urbanization, energy management in smart cities is an essential challenge to tackle. Due to the complexity of the energy systems and their vital role, energy management is one of the most demanding issues within urban centers. Therefore, this problem needs to be devoted to considerable attention and effort. Optimized operations using predictive analytics, data mining and modeling are the main tools commonly used to evaluate the technological and policy impacts of smart solutions, as well as to plan the best ways to move from current to smarter cities. The reviews show energy-related work on smart city planning and operating models by classifying their scope into main areas of intervention: energy generation, infrastructure, energy storage, mobile internet, cloud technology, internet of things (IoT), autonomous and near autonomous vehicles, facilities, and intelligent transport system.
KW - 4IR
KW - Digital Transformation
KW - Energy
KW - Sustainable Management
KW - Technology Disruption
UR - http://www.scopus.com/inward/record.url?scp=85079661796&partnerID=8YFLogxK
U2 - 10.1109/IEEM44572.2019.8978675
DO - 10.1109/IEEM44572.2019.8978675
M3 - Conference contribution
AN - SCOPUS:85079661796
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 978
EP - 984
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Y2 - 15 December 2019 through 18 December 2019
ER -
