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IMPLEMENTATION OF NOVEL APPROACHES IN BIDIRECTIONAL MODEL TRANSFORMATION: A SYSTEMATIC LITERATURE REVIEW

Hafiz Gulfam Ahmad, Ghazi University, Dera Ghazi Khan, Pakistan, Iqra Tahir, Naveed Naeem Abbas, National University of Science & Technology, Islamabad, Pakistan, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
2021 Azerbaijan Journal of High Performance Computing  
researchers, have been able to produce many approaches in bidirectional model transformations (bx), but the cost and best fir for effective model transformation, in particular, a quantities survey will  ...  The main objective of this SLR is to provide an insight into the different approaches and establish a well-balanced approach that can be used in bidirectional model transformation in software development  ...  The issue of non-determinism in bidirectional transformations relevant to the uncertainty factor is discussed. The management of different models is complex and poses many threats.  ... 
doi:10.32010/26166127.2021.4.1.91.112 fatcat:2mflbvhmffd7jeb4cs2vafwqpy

Uncertainty in bidirectional transformations

Romina Eramo, Alfonso Pierantonio, Gianni Rosa
2014 Proceedings of the 6th International Workshop on Modeling in Software Engineering - MiSE 2014  
Conventional wisdom on bidirectionality in Model-Driven Engineering (MDE) suggests that it represents a crucial component to achieve superior model management, whether it be round-tripping, synchronisation  ...  This paper proposes to leverage traceability information between source and target elements of a transformation to a first-class status in order to i) automatise its generation, ii) enable a model-based  ...  Introduction Conventional wisdom on bidirectional transformations in Model-Driven Engineering (MDE) [13] suggests that they are crucial components to achieve superior model management, whether it be  ... 
doi:10.1145/2593770.2593772 dblp:conf/icse/EramoPR14 fatcat:tjjkqllx5zgm5l4taamodwi6si

Overview of Trust Models Integrating Trust Management into Grid Computing

Slavom´ır Kaveck´, Penka Martincov´
2015 International Journal of Computer Applications  
Recently, in the grid computing the trust management has been recognized as a mechanism for managing the dangers and learning from past interactions.  ...  In the last few years several trust models were proposed. The models incorporate trust into the process of decision making whether or not to collaborate through a grid environment.  ...  Uncertainty introduced as a complement to the belief and disbelief in the collaborating entity. Bidirectional. Shi et al.  ... 
doi:10.5120/ijca2015906657 fatcat:jj4pxjrulbgprbjbmkbdc3ofwi

Bidirectional Power Sharing for DC Microgrid Enabled by Dual Active Bridge DC-DC Converter

Sara J. Ríos, Daniel J. Pagano, Kevin E. Lucas
2021 Energies  
In fact, isolated bidirectional dc-dc converters are widely used in modern dc distribution systems.  ...  This study presents a power management control scheme in order to ensure the power balance of a dc microgrid in stand-alone operation, where the renewable energy source (RES) and the battery energy storage  ...  Conflicts of Interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.3390/en14020404 fatcat:vfkrt54cuff3lhsfrjaj64oipm

A Comprehensive Review on Integration Challenges, Optimization Techniques and Control Strategies of Hybrid AC/DC Microgrid

Omar Azeem, Mujtaba Ali, Ghulam Abbas, Muhammad Uzair, Ayman Qahmash, Abdulmohsen Algarni, Mohammad Rashid Hussain
2021 Applied Sciences  
scenarios, the efficient management regarding uncertainty for renewable energy resources, the optimal placement of feeders, and the cost-effective control methodologies for the hybrid microgrid.  ...  This paper discusses major issues regarding the hybrid microgrids, the integration of AC and DC microgrids, their security and reliability, the optimization of power generation and load management in different  ...  In [45] , the authors propose a stochastic load flow model based on unscented transform and modified crow search algorithm (MCSA) for uncertainty in variables of active and reactive loads, wind and solar  ... 
doi:10.3390/app11146242 fatcat:274dmqmkzzfo7ojow2s75jr3wi

Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN [article]

Maitreya Patel, Anery Patel, Dr. Ranendu Ghosh
2018 arXiv   pre-print
To further our studies, we compare the bidirectional LSTM network with 1D CNN model to prove the capabilities of sequence models over feed-forward neural architectures in forecasting related problems.  ...  Our research work intends to utilize the recent advances in deep learning to nowcasting, a multi-variable time series forecasting problem.  ...  It reduces the uncertainty of the day-ahead forecast of the previous day and plays a crucial role in risk prevention and crisis management.  ... 
arXiv:1810.10485v1 fatcat:fdm2avxdufcnppb52pvoq3xgqi

Guest Editorial Special Issue on Topology, Modeling, Control, and Reliability of Bidirectional DC/DC Converters in DC Microgrids

Tomislav Dragicevic, Dmitri Vinnikov
2021 IEEE Journal of Emerging and Selected Topics in Power Electronics  
They can also be stacked together to operate in the so-called solid-state transformer architecture, which manages the power flow between dc microgrid and the upstream distribution network.  ...  To promote further research and development of this emerging technology, we proposed a Special Issue on the topology, modeling, control, and reliability of bidirectional dc/dc converters for application  ...  They can also be stacked together to operate in the so-called solid-state transformer architecture, which manages the power flow between dc microgrid and the upstream distribution network.  ... 
doi:10.1109/jestpe.2021.3062913 fatcat:vzou4v4qvzaebesl4f6odn6svm

Probabilistic Hosting Capacity for Active Distribution Networks

Hassan Al-Saadi, Rastko Zivanovic, Said F. Al-Sarawi
2017 IEEE Transactions on Industrial Informatics  
The Nataf transformation was used to ensure the rank correlation modelling among the non-Gaussian uncertainty representations in which the inter-dependences are modelled.  ...  Table 2 2 PV Data for the uncertainty model at different daytimes in a day in December.  ...  include the publication in the thesis; and iii. the sum of all co-author contributions is equal to 100% less the candidate's stated contribution.  ... 
doi:10.1109/tii.2017.2698505 fatcat:7ipfpavqevdo3pconwd6oi4q74

Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling

Asaad Mohammad, Ramon Zamora, Tek Tjing Lie
2020 Energies  
Further, the paper evaluates the uncertainty modelling methods associated with various parameters related to the grid-connected EV-PV system.  ...  The paper presents an evaluation of different modelling components of grid-connected EV-PV system to facilitate readers in modelling such system for researching EV-PV integration in the distribution network  ...  The tables in respective sections summarise the techniques used to model the uncertainties present.  ... 
doi:10.3390/en13174541 fatcat:kom2eksv3rdbrijyij4v7ayc7m

Constraint-Driven Modeling through Transformation [chapter]

Andreas Demuth, Roberto E. Lopez-Herrejon, Alexander Egyed
2012 Lecture Notes in Computer Science  
In this paper, we propose a vision of Constraint-driven Modeling in which transformation is used to automate the generation of model constraints instead of generating entire models.  ...  In model-driven software engineering, model transformations play a key role since they are used to automatically generate and update models from existing information.  ...  Note that bidirectional transformations are split into unidirectional ones in our approach, thus there was no need for testing bidirectional transformations explicitly.  ... 
doi:10.1007/978-3-642-30476-7_17 fatcat:hwyrc7bz25hc7ehe7cv4td2d4i

Constraint-driven modeling through transformation

Andreas Demuth, Roberto Erick Lopez-Herrejon, Alexander Egyed
2013 Journal of Software and Systems Modeling  
In this paper, we propose a vision of Constraint-driven Modeling in which transformation is used to automate the generation of model constraints instead of generating entire models.  ...  In model-driven software engineering, model transformations play a key role since they are used to automatically generate and update models from existing information.  ...  Note that bidirectional transformations are split into unidirectional ones in our approach, thus there was no need for testing bidirectional transformations explicitly.  ... 
doi:10.1007/s10270-013-0363-3 fatcat:lc2u2ysybvarvhz4oaz2or4dfa

Charge Control and Operation of Electric Vehicles in Power Grids: A Review

Samy Faddel, Ali Al-Awami, Osama Mohammed
2018 Energies  
In addition, challenges related to the stochastic nature of the driving characteristics of EVs are considered. Finally, some open problems related to the energy management of EVs will be presented.  ...  The paper covers different control and operation strategies reported in the literature as well as issues related to the real time dispatching of EVs in the smart grids.  ...  In [49] , optimal demand-side management (DSM) is achieved using a model derived from game-theory.  ... 
doi:10.3390/en11040701 fatcat:n5wiw6a7szfvnb3svjzgtiv2gm

A Financial Service Chatbot based on Deep Bidirectional Transformers [article]

Shi Yu, Yuxin Chen, Hussain Zaidi
2020 arXiv   pre-print
We develop a chatbot using Deep Bidirectional Transformer models (BERT) to handle client questions in financial investment customer service.  ...  Another novel contribution is the usage of BERT as a language model in automatic spelling correction.  ...  We thank colleagues in Vanguard Retail Group (IT/Digital, Customer Care) for their pioneering effort collecting and curating all the data used in our approach.  ... 
arXiv:2003.04987v1 fatcat:pa6brq5avnb33hkvs74kpbdsgu

Multi-Level Energy Management Systems Toward a Smarter Grid: A Review

Sadam Hussain, Claude Ziad El-Bayeh, Chunyan Lai, Ursula Eicker
2021 IEEE Access  
Stochastic models, such as Markov chain Monte-Carlo, Monte-Carlo, and Markov chain models, can be applied to handle uncertainties in the grid [14] .  ...  A robust EMS needs to model uncertainties effectively and accurately for the real system. If these uncertainties are not modeled correctly, it will affect the optimization of the EMSs.  ... 
doi:10.1109/access.2021.3078082 fatcat:hcxkdrdphbehlak4k4qblviipa

Smart Power Control and Management of a Standalone Renewable Energy Production System

Abdelhaq Amar Bensaber, Mustapha Benghanem, Mohamed Bourahla
2019 International Journal of Control and Automation  
To accomplish efficient energy management, we combine two powerful renewable energies: solar and wind, batteries were also used to store the excess of energy or to supply the system with the required energy  ...  getting attraction because they have been presented as green and reliable power systems for isolated areas, but the high dependency on weather state and the nonlinearity of the system cause a variation in  ...  The electrical model of the machine obtained using Park transformation is given by the following equations [23, 30, 31 SECOND ORDER SLIDING MODE CONTROL SMC is an interesting nonlinear method approach  ... 
doi:10.33832/ijca.2019.12.12.02 fatcat:6bdo2esygrdj7jltqi2we2pi6i
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