An Advanced IoT-based System for Intelligent Energy Management in Buildings

Marinakis, Vangelis; Doukas, Haris

doi:10.3390/s18020610

Cited by 170 publications

(100 citation statements)

References 21 publications

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“…In addition, any risk has its occurrence likelihood (probability); the Probability of each IST must also be rated. Pi represents the evaluated Probability grade of the ith item, which can be calculated by Equation (2). PSij represents the Probability score of the ith item given by the jth expert, while PEij is the score of expertise regarding PSij.…”

Section: Threat Assessment Mechanismmentioning

confidence: 99%

Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches

Chen

Huang

2019

Inventions

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This paper introduces an information security threat modeling (ISTM) scheme, which leverages the strengths of software engineering and risk management approaches, called I-SERM. The proposed I-SERM scheme effectively and efficiently prioritizes information security threats for IT systems that utilize a large number of sensors, such as Internet of Things (IoT)-based energy systems. I-SERM operations include determining functional components, identifying associated threat types, analyzing threat items, and prioritizing key threats with the use of software engineering tools such as product flow diagrams, use case diagrams, and data flow diagrams. By simultaneously referring to a proposed STRIDE+p matrix and a defined threat breakdown structure with reference score (TBS+r) scheme, the I-SERM approach enables systematic ISTM. To demonstrate the usability of I-SERM, this study presents a practical case aimed at electricity load balancing on a smart grid. In brief, this study indicates a substantive research direction that combines the advantages of software engineering and risk management into a systematic ISTM process. In addition, the demonstration of I-SERM in practice provides a valuable and practical reference for I-SERM application, and contributes to research in the field of information security designs for IoT-based Energy Internet systems. Inventions 2019, 4, 53 2 of 22ISTs, and taking the considerable remedial actions required are important steps that should be taken based on both theoretical and pragmatic consideration.The IoT has become a mainstream of ICT-based technology enabling smarter applications in the fields of facility monitoring and process management (i.e., Industry 4.0), medical areas, etc. IoT technology also makes possible the construction of smart power systems with intelligent energy management applications. Pan et al. [1] designed and implemented an IoT framework for smart energy functions in buildings. Marinakis and Doukas [2] also emphasized the enhancement of IoT-enabled intelligent energy management in buildings. In addition, Ejaz et al. [3] discussed the issue of how to adopt IoT technology to provide efficient energy management in smart cities. Noor-A-Rahim et al. [4] proposed an IoT-based framework to provide reliable communications between renewable energy facilities, remote IoT components, and control centers. These articles indicate that complex IoT-supported systems like smart buildings or cities, with many factors affecting the total energy consumption in different energy application scenarios, have been the focus of much Energy Internet research.Electricity is undoubtedly an indispensable form of energy for modern society. With the trend of rapid urbanization, people have become highly dependent on their use of electricity. As a result, the stability and reliability of the power supply plays a critical role in the operation of modern power systems. In addition to relying on the effective operation of power equipment, an ICT-supported infrastructure platform capable of superviso...

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Section: Threat Assessment Mechanismmentioning

confidence: 99%

Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches

Chen

Huang

2019

Inventions

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“…Siemens Synco manages energy plants and HVAC (heating, Ventilation, and Air Conditioning) equipment. Cylon Energy solution is a building energy monitoring system that provides real-time information on energy usage and consumption information for every 15mts (Marinakis and Doukas, 2018). With increasing adoption of smart building solutions, the built environment will achieve new efficiencies in energy use and improvements in occupant comfort.…”

Section: Operational and Energy Efficiencymentioning

confidence: 99%

Benefits, Barriers and Applications of Information Communication Technology in Construction Industry: a Contemporary Study

Vasista¹,

Abone²

2018

IJET

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In the construction industry there is a necessity for improving the construction efficiency through adopting innovative methods. Information and Communication Technologies (ICT) help in increasing the client satisfaction by reducing coordination errors and provide a greater understanding among project participants in terms of better handling issues and requirements. Better efficiency can be achieved by making a building smarter. Construction projects are faced with many challenges that must not be ignored or underestimated. Some of the wicked problems and challenges such as understanding how one decision will impact decisions in other areas; problem of addressing the risk due to dynamic and uncertainty existing in the environment; resolving conflict where there are competing claims resulting both good and bad outcomes from the same value system are required to be well managed, if required using innovative methods such as using ICT and software packages. Therefore Objective of this research is to explore and describe the use and applications of information and communication technologies in construction industry. It involves examining the current trends of ICT based construction practices and also to assess the potential for its improvement by way of innovation. In this the journey started with describing what innovative methodologies are required to be considered to drive the discussion of adopting and using ICT to handle the wicked problems in construction industry. Two rationalities are considered as a basis for working on ICT applications in construction management viz.: (i) Six stages of Project Life cycle management and (ii) Nine project management knowledge areas as described by Project Management Institute (PMI).

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“…The constantly increasing momentum of big data and their related technologies constitutes an unprecedented market opportunity for improving the energy efficiency along the building sector and its lifecycle and for better managing energy consumption and generation at building level. More and more data are being generated within buildings nowadays, due to the increasing adoption of leading-edge information and communication technologies (ICTs), such as Internet of things (IoT), artificial intelligence (AI), distributed ledger technology (DLT)/blockchain and big data; hence, contributing to move forward towards a smart building landscape [13].…”

Section: Introductionmentioning

confidence: 99%

Big Data for Energy Management and Energy-Efficient Buildings

Marinakis

2020

Energies

Self Cite

106

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European buildings are producing a massive amount of data from a wide spectrum of energy-related sources, such as smart meters’ data, sensors and other Internet of things devices, creating new research challenges. In this context, the aim of this paper is to present a high-level data-driven architecture for buildings data exchange, management and real-time processing. This multi-disciplinary big data environment enables the integration of cross-domain data, combined with emerging artificial intelligence algorithms and distributed ledgers technology. Semantically enhanced, interlinked and multilingual repositories of heterogeneous types of data are coupled with a set of visualization, querying and exploration tools, suitable application programming interfaces (APIs) for data exchange, as well as a suite of configurable and ready-to-use analytical components that implement a series of advanced machine learning and deep learning algorithms. The results from the pilot application of the proposed framework are presented and discussed. The data-driven architecture enables reliable and effective policymaking, as well as supports the creation and exploitation of innovative energy efficiency services through the utilization of a wide variety of data, for the effective operation of buildings.

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An Advanced IoT-based System for Intelligent Energy Management in Buildings

Cited by 170 publications

References 21 publications

Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches

Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches

Benefits, Barriers and Applications of Information Communication Technology in Construction Industry: a Contemporary Study

Big Data for Energy Management and Energy-Efficient Buildings

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