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arXiv 2025年

作者： Abrishami, Saeid Zandi, Faridreza Momtaz Nourbakhsh, Alireza Department of Computer Engineering Faculty of Engineering Ferdowsi University of Mashhad Mashhad Iran Departement of Control and Computer Engineering Politecnico di Torino Torino Italy

Cloud computing has emerged as a promising platform for running scientific workflows across various domains. Scientists can take advantage of different cloud service models, such as serverful or serverless, to execute workflows based on their specific requirements, along with diverse pricing models like on-demand, reserved, or spot instances to reduce execution costs. However, the challenge of selecting appropriate resources and pricing models, coupled with the orchestration and scheduling of workflow tasks, creates significant complexity for users. To mitigate this burden, Workflow as a Service (WaaS) brokers have been introduced to facilitate workflow execution. In recent years, numerous studies have been published, either directly or indirectly related to this research area, highlighting the need for a comprehensive and systematic review of WaaS brokers to identify key trends and challenges in this field. In this paper, we conduct a Systematic Literature Review (SLR) on WaaS brokers within cloud environments. The SLR employs a thorough 3-tier strategy (database search, backward snowballing, and forward snowballing) to answer five research questions. A total of 74 high-quality articles, published in 43 prestigious venues, are analyzed to derive a taxonomy based on the architecture of WaaS brokers. The articles are classified and surveyed according to this taxonomy, and future research directions for the design and implementation of WaaS brokers are explored. This study provides valuable insights for researchers and developers, helping them identify major trends and issues in the field of WaaS brokers. © 2025, CC BY.

关键词： Cloud platforms

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Optimization of Hybrid PV-Battery Energy Systems for Grid-Connected Greenhouses

Optimization of Hybrid PV-Battery Energy Systems for Grid-Co...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Dong Lin Zilong Zhao Ming Zhao Yun Dong Faculty of Electrical and Control Engineering Liaoning Technical University Huludao China Departement of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

This study tackles the challenges of high energy consumption and environmental impact in greenhouse operations by integrating grid-connected photovoltaic (PV) and battery systems. A two-layer hierarchical optimization framework is proposed to improve energy management. The upper layer optimizes greenhouse operations to balance energy usage and costs, while the lower layer focuses on scheduling the hybrid energy system to maximize PV self-consumption and minimize total costs, including energy expenses, battery degradation, and carbon emissions. These strategies not only lower operational costs but also promote sustainable practices and improve energy efficiency in greenhouse management.

关键词： Photovoltaic systems Energy consumption Renewable energy sources Costs Wind energy Green products Carbon dioxide System integration Batteries Optimization

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Examining the Impact of Energy Management Systems on Energy Performance and Organizational Competitiveness: An Empirical Study 9

Examining the Impact of Energy Management Systems on Energy ...

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9th International Conference on engineering and Emerging Technology, ICEET 2023

作者： Ali, Ehsan Batool, Laeeqa Baig, Zaid Bin Tariq School of Economic and Management North China Electric Power University Beijing China Lahore College for Women University Department of Economics Lahore Pakistan North China Electric Power University Departement of Control and Computer Engineering Beijing China

ISBN: (纸本)9798350316926

This study examines the impact of energy management systems (EnMS) on energy performance and organizational competitiveness. Manufacturing organizations were surveyed to collect data on EnMS implementation, energy consumption, and energy costs. The results of the study show that organizations with EnMS have lower energy consumption and costs than organizations without EnMS. The study also found that EnMS can improve organizational competitiveness by increasing productivity, reducing costs, and improving environmental performance. The findings of this study suggest that EnMS can be a valuable tool for organizations that are looking to improve their energy performance and competitiveness. The study also provides practical recommendations for organizations that are considering implementing an EnMS. © 2023 IEEE.

关键词： Energy utilization

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A 3D Design of Small Hybrid Farm for Microgrids

A 3D Design of Small Hybrid Farm for Microgrids

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2022 World Automation Congress, WAC 2022

作者： Tehrani, Kambiz Simde, Diane Fozing, Jourdain Jamshidi, Mo Departement of Energy and Control University of Normandy-ESIGELEIRSEEM Rouen France Department of Electrical and Computer Engineering University of Texas at San Antonio San AntonioTX United States

ISBN: (数字)9798888314449

ISBN: (纸本)9798888314449

This paper discusses a 3D design of multi-source energy system. This modeling considers several parameters that influence the energy produced such as sunlight, temperature, humidity, speed and wind direction, hub height, time and season. This technique is validated with several simulation results using a Multiphysics approach for a small hybrid farm that can be applied to microgrids. © 2022 TSI Enterprises.

关键词： 3D modeling

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Universal Approximator Approach for Fuzzy Modeling in Thermoelectric Generator 21

Universal Approximator Approach for Fuzzy Modeling in Thermo...

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21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

作者： Derbel, Achraf Trigona, Carlo Baccar, Noura Derbel, Nabil Mediterranean Institute of Technology South Mediterranean University Departement of Computer Systems Eng. Tunisia Università Degli Studi di Catania DIEEI Dipartimento di Ingegneria Elettrica Elettronica e Informatica Italy National Engineering School of Sfax University of Sfax Laboratory of Control & Energy Management ENIS Tunisia

ISBN: (纸本)9798350374131

This study explores the application of fuzzy systems as universal approximators for nonlinear functions, focusing on mono-variable and scalable to multi-variable functions. Ensuring error-free approximations through quadratic terms, our method-ology emphasizes reliability. Shifting to practicality, we investi-gate thermoelectric generators' dynamic response to temperature fluctuations. The research underscores fuzzy systems' precision in modeling TEG behavior, validating applicability and accuracy through diverse temperature scenarios. © 2024 IEEE.

关键词： Fuzzy systems

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Parameter fault estimation in distributed heating/cooling systems 22

Parameter fault estimation in distributed heating/cooling sy...

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Proceedings of the 7th International Conference on Sustainable Information engineering and Technology

作者： Wijaya Kurniawan Katalin M. Hangos Lorinc Marton Faculty of Computer Science University of Brawijaya Indonesia) and Departement of Electrical Engineering and Information Systems University of Pannonia Hungary Departement of Electrical Engineering and Information Systems University of Pannonia Hungary and Institute for Computer Science and Control Hungary Department of Electrical Engineering Sapientia Hungarian University of Transylvania Romania)

ISBN: (纸本)9781450397117

In this paper, the problem of fault estimation and localization in the connecting dynamic elements of distributed heating and cooling systems are treated. The fault represents the physical parameter change related to the heat transfer between the system and the external environment. First, based on the bi-linear dynamic state space model of the system in the presence of a fault, structural observability analysis using Signed Directed Graph (SDG) has been performed to investigate the sensor placement problem. Then, a nonlinear observer with a parameter adaptation algorithm was proposed for fault estimation. The simulation results show that it can successfully detect and estimate the fault. Fault localization along the length of the element has also been attempted, but it has been found that the localization cannot be performed using practically changeable input variables. Frequency domain analysis is presented to discuss this phenomenon.

关键词： Nonlinear Observer Heating/cooling system Fault diagnosis Structural observability Parameter estimation

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A Dual Multilevel Adaptive Converter for Microgrid Applications 48

A Dual Multilevel Adaptive Converter for Microgrid Applicati...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Rasoanarivo, Ignace Tehrani, Kambiz Scalcon, Filipe Pinarello Nahid-Mobarakeh, Babak University of Lorraine Lemta Laboratory Nancy France University of Normandy-ESIGELEC-IRSEEM Departement of Energy and Control Rouen France Mc Master University Ontario Canada McMaster University Department of Electrical & Computer Engineering Ontario Canada

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This article introduces a double multilevel converter with adjustable output voltage levels for microgrid applications. These converters can be easily upgraded to lower or higher levels. This will make it possible to reduce some harmonics, also power losses and voltage stress. In this study, a multilevel inverter is powered by a multi-level DCDC boost converter. The simulation and experimental results are presented in this paper to validate the developed approaches and methodologies. © 2022 IEEE.

关键词： Insulated gate bipolar transistors (IGBT)

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Hybrid Routing in VANETs Using OLSR and Q-Learning for Enhanced Performance

Hybrid Routing in VANETs Using OLSR and Q-Learning for Enhan...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Wafa Akermi Nouha Alyaoui Awatef Benfradj Guiloufi Karim Chabir Computer Science and Telecommunications Department Higher Institute of Applied Science and Technology Gafsa University Gafsa Tunisia Laboratory of Modeling Analysis and Control of Systems (MACS) National Engineering School of Gabes (ENIG) Gabes University Gabes Tunisia Departement of Computer Engineering College of Computer Qassim University Buraidh Saudi Ababia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

High node mobility, rapid topology changes provide specific challenges for vehicular ad hoc networks (VANETs), which have an immediate impact on the routing protocols' performance. Traditional approaches, like the Optimized Link State Routing (OLSR) protocol, provide proactive route management but fail to fully account for critical dynamic parameters like link stability, relative vehicle speed, node distance, and bandwidth availability. This work proposes a hybrid method combining OLSR with Q-learning to facilitate real-time adaptive routing. The model leverages dynamic metrics to proactively evaluate links while employing Q-learning to optimize routing decisions based on rewards computed from performance factors like delay, packet loss rate, and link duration. Simulation results demonstrate that our approach significantly outperforms classic OLSR. The improvements include reduced packet loss rates, increased average throughput, lower average latency, and a reduction in control overhead. These findings confirm that integrating dynamic metrics and adaptive learning effectively addresses the challenges posed by VANETs.

关键词： Q-learning Simulation Vehicular ad hoc networks Packet loss Routing Throughput Routing protocols Stability analysis Topology Vehicle dynamics

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Towards an Integrated Framework for Fugitive Methane Source Localization and Monitoring in a Wireless Sensor Network

Towards an Integrated Framework for Fugitive Methane Source ...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Amira Al Jawhari Yasmine Souissi Jawhar Ghommam Yassine Jamoussi Faisal Mnif Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Department of Engineering GUtech University Muscat Oman Laboratory of Control Energy Management (Cem-Lab) ENIS Tunisa Departement of Computer Science College of Science SQU

Gas leaks are the main cause of industrial fires and accidents. These cause countless fatalities, equipment damage, and other severe environmental effects. In this paper, we provide a framework for the monitoring and detection of methane leakage using a diffusion model based on the gas diffusion theory. Given that centralized Least Square methods are not efficient and robust as they require the gathering and processing of large-scale measurements on a central node. We propose a detection technique which makes use of the distributed (Non-linear) least squares method to overcome this problem. Then, a network of connected methane sensors is used to detect gas leaks. In order to estimate the parameters of the diffusive model for the gas leakage on each sensor node, a distributed recursive estimator of the consensus plus an innovation type technique is used. The characteristics being estimated include the gas source’s distance, which will be effectively triangulated to determine the source’s precise location. The targeted location is subsequently estimated using a location dispersed algorithm-based LS.

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Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification

arXiv

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arXiv 2024年

作者： Kon, Johan van de Wijdeven, Jeroen Bruijnen, Dennis Tóth, Roland Heertjes, Marcel Oomen, Tom Control Systems Technology Group Departement of Mechanical Engineering Eindhoven University of Technology Eindhoven Netherlands ASML Veldhoven Netherlands Philips Engineering Solutions Eindhoven Netherlands Control Systems Group Electrical Engineering Eindhoven University of Technology Netherlands The HUN-REN Institute for Computer Science and Control Budapest Hungary Delft University of Technology Delft Netherlands

Ensuring stability of discrete-time (DT) linear parameter-varying (LPV) input-output (IO) models estimated via system identification methods is a challenging problem as known stability constraints can only be numerically verified, e.g., through solving Linear Matrix Inequalities. In this paper, an unconstrained DT-LPV-IO parameterization is developed which gives a stable model for any choice of model parameters. To achieve this, it is shown that all quadratically stable DT-LPV-IO models can be generated by a mapping of transformed coefficient functions that are constrained to the unit ball, i.e., a small-gain condition. The unit ball is then reparameterized through a Cayley transformation, resulting in an unconstrained parameterization of all quadratically stable DT-LPV-IO models. As a special case, an unconstrained parameterization of all stable DT linear time-invariant transfer functions is obtained. Identification using the stable DT-LPV-IO model with neural network coefficient functions is demonstrated on a simulation example of a position-varying mass-damper-spring system. © 2024, CC BY-NC-ND.

关键词： Parameterization

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