A Survey on Energy Efficiency in Smart Homes and Smart Grids

Lisardo Prieto González, Anna Fensel, Juan Miguel Gómez Berbís, Angela Popa and Antonio de Amescua Seco
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Lisardo Prieto González: Software Architect Group, Department of Computer Science, Carlos III University of Madrid, 28911 Leganés, Spain
Anna Fensel: Wageningen Data Competence Center (WDCC), Wageningen University and Research, 6708 PB Wageningen, The Netherlands
Juan Miguel Gómez Berbís: Software Architect Group, Department of Computer Science, Carlos III University of Madrid, 28911 Leganés, Spain
Angela Popa: STI (Semantic Technology Institute) Innsbruck, Department of Computer Science, University of Innsbruck, 6020 Innsbruck, Austria
Antonio de Amescua Seco: Software Architect Group, Department of Computer Science, Carlos III University of Madrid, 28911 Leganés, Spain

Energies, 2021, vol. 14, issue 21, 1-16

Abstract: 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.

Keywords: energy efficiency; smart home; semantic technology; knowledge graphs; security; fraud; detection; encryption; smart grid; communication; microgrid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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