A cloud-based service-oriented architecture to unlock smart energy services

Haghgoo, Maliheh; Dognini, Alberto; Storek, Thomas; Plamanescu, Radu; Rahe, Ulrike; Gheorghe, Ștefan; Albu, Mihaela; Monti, Antonello; Müller, Dirk

doi:10.1186/s42162-021-00143-x

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…Emerging business prospects from the IoT are driving private, public, and hybrid cloud providers to integrate their systems with IoT devices equipped with sensors and actuators to provide a new level of service infrastructure to improve the quality and security of power supply. At the same time, with the advent of IoT, the continued evolution of cloud computing has led to a dramatic change in the design, implementation, and delivery of applications [51,52].…”

Section: Cloud Computingmentioning

confidence: 99%

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Designing a Comprehensive and Flexible Architecture to Improve Energy Efficiency and Decision-Making in Managing Energy Consumption and Production in Panama

et al. 2023

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In recent years, the integration of new elements to the electric grid, such as electric vehicles and renewable energies, requires the evolution of the electric grid as we know it, making it necessary to optimize the processes of production, distribution, and storage of energy. This situation gives rise to introducing the so-called Smart Grids (SG), which would allow a balance between energy supply and demand, thus enabling a system in which the consumer will also become a producer of its surplus energy. Under this scenario, this work proposes an architecture whose technological components, such as the internet of things (IoT), artificial intelligence (AI), cloud computing, and mobile applications, allow users to address the problem of consumption and production of electricity. In the experiments conducted, results were obtained from the components that support the functionality of the proposed platform.

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Section: Cloud Computingmentioning

confidence: 99%

“…Haghgoo et al [51] presents a cloud-based platform based on a service-oriented architecture to perform service analysis of smart energy systems. It is the result of the European FISMEP (FIWARE for Smart Energy Platform) project to demonstrate an information and communication technology (ICT) architecture for the smart energy sector.…”

Section: Related Workmentioning

confidence: 99%

Designing a Comprehensive and Flexible Architecture to Improve Energy Efficiency and Decision-Making in Managing Energy Consumption and Production in Panama

et al. 2023

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“…This can facilitate the realization of services, such as energy management, service restoration, network configuration, and monitoring. [19] The service paradigm is more abstract and therefore more complex compared to the earlier operational technologies, but it is necessary to reach convergence between information technologies and operational technologies (IT/OT). The complexity can be problematic in control or protection activities that require deterministic, millisecond-grade response times.…”

Section: A Servitization In Power Systemsmentioning

confidence: 99%

Distributed Service Choreography Framework for Interoperability Among Prosumers and Electric Power System

Kannisto,

Gümrükcü,

Ponci

et al. 2023

IEEE Access

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The electric power system is transforming from a strict hierarchy into a distributed scheme that consists of prosumers and other service providers. Some services require interactions more complex than request-response. To reach functional interoperability, such services necessitate an agreement about what actions happen, in which order, and in which conditions. Such agreements can be modeled as service choreographies, a concept familiar from microservice architectures (MSA). However, the management of choreographies is demanding, especially in inter-organizational (or actor-to-actor) schemes, if changes occur frequently or the number of participants and choreography instances is high. This article proposes Discografia, a framework to support the distributed execution of service choreographies modeled with the standard Business Process Model and Notation 2.0 (BPMN2). Beyond distributed execution, certain operations must be centralized, specifically for security as well as lifecycle and execution support. The framework is proven with a software prototype to demonstrate applicability. The prototype coordinates the charging of electric vehicles (EV) among competing aggregators operating in urban charging hubs (UCH). Additionally, the concept is evaluated with theoretical calculations that suggest reduced manual effort in communicating choreography specifications. Thus, this paper argues that Discografia concept for distributed service choreographing facilitates inter-organizational interoperability, an essential factor in future power system.

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“…The contexts will be mapped onto a map that will outline the application as a whole (Hannousse & Yahiouche, 2021). Unlike a Service-Oriented Architecture (SOA) or layered architecture (Hustad & Olsen, 2021;Haghgoo et al, 2021) a specific context also involves the inclusion of data model and data, all specific to that context (Lenarduzzi et al, 2020). Microservices outline functionality of the process logic and do not exclusively refer to layers with a technical role, laid horizontally, from user interaction to the database (Mazzara et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Horizontal Tuning Framework for Machine Learning Algorithms Using a Microservice-based Architecture

OPREA,

BÂRA,

DOBRIȚA (ENE)

et al. 2023

SIC

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Usually, data collected through surveys or by means of sensors is prone to errors and inaccuracies, such as missing data and outliers. Such datasets consist of numerical and string variables, with a high variety of values. Emerging issues, for instance, missing or categorical data lead to errors in running most of the machine learning algorithms. Data analysis and pre-processing are usually more substantial and time-consuming than the implementation of the machine algorithms. Nevertheless, the obtained results are significantly influenced by the way missing data or outliers are approached. This paper presents various methods for coping with null and extreme values. Furthermore, it highlights the significance of encoding and scaling the analysed data and their impact on the performance of the machine learning algorithms. Thus, this paper proposes a methodology for a Missing, Outliers, Encoding & Scaling (MOES) horizontal tuning framework using microservices as applications for data processing in order to obtain the best combination of the employed methods. For exemplification purposes, a real data set from the banking sector is used. Furthermore, the proposed methodology was tested using a second real data set from the utilities sector and the results also showed that both the AUC (Area under the Curve) and execution time were better than in the case of employing the PyCaret Python library.

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A cloud-based service-oriented architecture to unlock smart energy services

Cited by 9 publications

References 9 publications

Designing a Comprehensive and Flexible Architecture to Improve Energy Efficiency and Decision-Making in Managing Energy Consumption and Production in Panama

Designing a Comprehensive and Flexible Architecture to Improve Energy Efficiency and Decision-Making in Managing Energy Consumption and Production in Panama

Distributed Service Choreography Framework for Interoperability Among Prosumers and Electric Power System

A Horizontal Tuning Framework for Machine Learning Algorithms Using a Microservice-based Architecture

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