A Survey on Energy Efficiency in Smart Homes and Smart Grids

被引:10
|
作者
Prieto Gonzalez, Lisardo [1 ]
Fensel, Anna [2 ,3 ,4 ]
Gomez Berbis, Juan Miguel [1 ]
Popa, Angela [4 ]
de Amescua Seco, Antonio [1 ]
机构
[1] Carlos III Univ Madrid, Dept Comp Sci, Software Architect Grp, Leganes 28911, Spain
[2] Wageningen Univ & Res, Wageningen Data Competence Ctr WDCC, NL-6708 PB Wageningen, Netherlands
[3] Wageningen Univ & Res, Consumpt & Hlth Lifestyles Grp, NL-6708 PB Wageningen, Netherlands
[4] Univ Innsbruck, STI Semant Technol Inst Innsbruck, Dept Comp Sci, A-6020 Innsbruck, Austria
关键词
energy efficiency; smart home; semantic technology; knowledge graphs; security; fraud; detection; encryption; smart grid; communication; microgrid; INTEROPERABILITY; SECURITY; MACHINE; SYSTEMS; SCHEME;
D O I
10.3390/en14217273
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Empowered by the emergence of novel information and communication technologies (ICTs) such as sensors and high-performance digital communication systems, Europe has adapted its electricity distribution network into a modern infrastructure known as a smart grid (SG). The benefits of this new infrastructure include precise and real-time capacity for measuring and monitoring the different energy-relevant parameters on the various points of the grid and for the remote operation and optimization of distribution. Furthermore, a new user profile is derived from this novel infrastructure, known as a prosumer (a user that can produce and consume energy to/from the grid), who can benefit from the features derived from applying advanced analytics and semantic technologies in the rich amount of big data generated by the different subsystems. However, this novel, highly interconnected infrastructure also presents some significant drawbacks, like those related to information security (IS). We provide a systematic literature survey of the ICT-empowered environments that comprise SGs and homes, and the application of modern artificial intelligence (AI) related technologies with sensor fusion systems and actuators, ensuring energy efficiency in such systems. Furthermore, we outline the current challenges and outlook for this field. These address new developments on microgrids, and data-driven energy efficiency that leads to better knowledge representation and decision-making for smart homes and SGs.
引用
收藏
页数:16
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