A Survey on Energy Efficiency in Smart Homes and Smart Grids

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 infrastr...

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Main Authors: Lisardo Prieto González, Anna Fensel, Juan Miguel Gómez Berbís, Angela Popa, Antonio de Amescua Seco
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/21/7273
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author Lisardo Prieto González
Anna Fensel
Juan Miguel Gómez Berbís
Angela Popa
Antonio de Amescua Seco
author_facet Lisardo Prieto González
Anna Fensel
Juan Miguel Gómez Berbís
Angela Popa
Antonio de Amescua Seco
author_sort Lisardo Prieto González
collection DOAJ
description 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.
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spelling doaj.art-b133b37154ec4a02b77376951b19d92c2023-12-03T13:25:41ZengMDPI AGEnergies1996-10732021-11-011421727310.3390/en14217273A Survey on Energy Efficiency in Smart Homes and Smart GridsLisardo Prieto González0Anna Fensel1Juan Miguel Gómez Berbís2Angela Popa3Antonio de Amescua Seco4Software Architect Group, Department of Computer Science, Carlos III University of Madrid, 28911 Leganés, SpainWageningen Data Competence Center (WDCC), Wageningen University and Research, 6708 PB Wageningen, The NetherlandsSoftware Architect Group, Department of Computer Science, Carlos III University of Madrid, 28911 Leganés, SpainSTI (Semantic Technology Institute) Innsbruck, Department of Computer Science, University of Innsbruck, 6020 Innsbruck, AustriaSoftware Architect Group, Department of Computer Science, Carlos III University of Madrid, 28911 Leganés, SpainEmpowered 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.https://www.mdpi.com/1996-1073/14/21/7273energy efficiencysmart homesemantic technologyknowledge graphssecurityfraud
spellingShingle Lisardo Prieto González
Anna Fensel
Juan Miguel Gómez Berbís
Angela Popa
Antonio de Amescua Seco
A Survey on Energy Efficiency in Smart Homes and Smart Grids
Energies
energy efficiency
smart home
semantic technology
knowledge graphs
security
fraud
title A Survey on Energy Efficiency in Smart Homes and Smart Grids
title_full A Survey on Energy Efficiency in Smart Homes and Smart Grids
title_fullStr A Survey on Energy Efficiency in Smart Homes and Smart Grids
title_full_unstemmed A Survey on Energy Efficiency in Smart Homes and Smart Grids
title_short A Survey on Energy Efficiency in Smart Homes and Smart Grids
title_sort survey on energy efficiency in smart homes and smart grids
topic energy efficiency
smart home
semantic technology
knowledge graphs
security
fraud
url https://www.mdpi.com/1996-1073/14/21/7273
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