Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Electrical and Computer Engineering (44)
- Operations Research, Systems Engineering and Industrial Engineering (20)
- Industrial Engineering (18)
- Mechanical Engineering (14)
- Business (11)
-
- Civil and Environmental Engineering (11)
- Operations and Supply Chain Management (9)
- Business Administration, Management, and Operations (8)
- Business Intelligence (6)
- Automotive Engineering (4)
- Environmental Engineering (4)
- Management Sciences and Quantitative Methods (4)
- Operational Research (4)
- E-Commerce (2)
- Energy Systems (2)
- Materials Science and Engineering (2)
- Physical Sciences and Mathematics (2)
- Aerodynamics and Fluid Mechanics (1)
- Aerospace Engineering (1)
- Business Analytics (1)
- Chemistry (1)
- Computer Sciences (1)
- Hydraulic Engineering (1)
- Information Security (1)
- Manufacturing (1)
- Marketing (1)
- Materials Chemistry (1)
- Systems Science (1)
- Keyword
-
- Computational fluid dynamics (4)
- Aerodynamics (3)
- Bluff body (3)
- Closed-loop supply chain (CLSC) (3)
- Fluid mechanics (3)
-
- Reverse logistics (3)
- Reverse logistics (RL) (3)
- Uncertain demand (3)
- Uncertainty (3)
- Vortex dynamics (3)
- Absorption (2)
- Air-conditioning (2)
- BWR nuclear power plant (2)
- Bagging (2)
- Body force model (2)
- COP (2)
- Classification (2)
- Closed loop supply chain (2)
- Computational fluid dynamics (CFD) (2)
- Ensemble (2)
- Fan (2)
- Fault diagnosis (2)
- Generative adversarial networks (2)
- Inconel 718 (2)
- Lagrangian relaxation (2)
- Machine learning (2)
- Mixed-integer linear programming (MILP) (2)
- Optimization (2)
- PIV (2)
- POD (2)
- Publication Year
Articles 1 - 30 of 90
Full-Text Articles in Engineering
Numerical Study Of Flow Characteristics Around A 30° Yawed Circular Cylinder At R E = 10 4, Ran Wang, Shaohong Cheng, David S.K. Ting
Numerical Study Of Flow Characteristics Around A 30° Yawed Circular Cylinder At R E = 10 4, Ran Wang, Shaohong Cheng, David S.K. Ting
Mechanical, Automotive & Materials Engineering Publications
Unstable motions of bridge stay cables have been observed on site and in wind tunnel tests when a cable is yawed at certain orientations to wind. To uncover the underlying mechanisms, flow around a circular cylinder at a yaw angle of 30° has been numerically analyzed in the current study using delayed detached eddy simulation (DDES) at R e = 10 4 . A comparison with the reference normal flow case indicates the presence of a more coherent span-wise flow structure when the cylinder is yawed at 30°. The application of proper orthogonal decomposition further reveals that at this orientation, …
Numerical Study Of Flow Characteristics Around A 30° Yawed Circular Cylinder At R E = 10 4, Ran Wang, Shaohong Cheng, David S.K. Ting
Numerical Study Of Flow Characteristics Around A 30° Yawed Circular Cylinder At R E = 10 4, Ran Wang, Shaohong Cheng, David S.K. Ting
Civil and Environmental Engineering Publications
Unstable motions of bridge stay cables have been observed on site and in wind tunnel tests when a cable is yawed at certain orientations to wind. To uncover the underlying mechanisms, flow around a circular cylinder at a yaw angle of 30° has been numerically analyzed in the current study using delayed detached eddy simulation (DDES) at R e = 10 4 . A comparison with the reference normal flow case indicates the presence of a more coherent span-wise flow structure when the cylinder is yawed at 30°. The application of proper orthogonal decomposition further reveals that at this orientation, …
Thermal Modelling Of A Passive Style Net-Zero Greenhouse In Alberta: The Effect Of Ground Parameters And The Solar To Air Fraction, Oselen J. Imafidon, David S.K. Ting, Rupp Carriveau
Thermal Modelling Of A Passive Style Net-Zero Greenhouse In Alberta: The Effect Of Ground Parameters And The Solar To Air Fraction, Oselen J. Imafidon, David S.K. Ting, Rupp Carriveau
Mechanical, Automotive & Materials Engineering Publications
Agricultural greenhouses can provide a suitable microclimate for crops to thrive under extreme weather conditions. The operations of these greenhouses are expensive due to the energy requirement of the active thermal conditioning systems required to maintain the growing environment for crop production. Engineering of these greenhouses to utilize clean renewable energy sources is critical and necessary to mitigate their carbon footprint, paving the way to a more sustainable agricultural industry. This paper presents numerical modelling of a net-zero passive solar greenhouse in Alberta, Canada with winter temperatures below freezing. The indoor microclimate of the greenhouse is modelled using the detailed …
Trading Electricity With Blockchain Systems, David Bowker, Anant Venkateswaran, Fazel Mohammadi, Abdulraheem Al Garni, Marko Vukobratovic, Claudio Lima, Farrokh Rahimi, Igor Ferreira, Davor Bosnjak, Hannes Agabus, Praveen Agarwal, Santosh Jain, Simon Mikulich, Victor Francisco, Toshiyuki Sawa, Umit Cali, Vladislav Berezovsky, Hannah Davis, Subhendu Subhendu, Gregor Karlovsek, Alex Barakat, Vivek Bhandari, Ivan Ostheimer, Jemma Green
Trading Electricity With Blockchain Systems, David Bowker, Anant Venkateswaran, Fazel Mohammadi, Abdulraheem Al Garni, Marko Vukobratovic, Claudio Lima, Farrokh Rahimi, Igor Ferreira, Davor Bosnjak, Hannes Agabus, Praveen Agarwal, Santosh Jain, Simon Mikulich, Victor Francisco, Toshiyuki Sawa, Umit Cali, Vladislav Berezovsky, Hannah Davis, Subhendu Subhendu, Gregor Karlovsek, Alex Barakat, Vivek Bhandari, Ivan Ostheimer, Jemma Green
Electrical and Computer Engineering Publications
On the wave of the development of new ICT technologies and renewable energy, the power system will certainly experience great changes to its outdated architecture over the next several decades. One of the key drivers of change in the power system is distributed energy resources. They are completely changing the paradigm of the power system as a system with a centralized hierarchy and one-way power flows from generation to customer and from high voltage to low voltage. Because the goals of net zero greenhouse gas emissions are gathering pace and are being accepted by countries around the world, slowdown in …
Event-Based Robust Control Techniques For Wheel-Based Robots Under Cyber-Attack And Dynamic Quantizer, Mobin Saeedi, Jafar Zarei, Mehrdad Saif, Allahyar Montazeri
Event-Based Robust Control Techniques For Wheel-Based Robots Under Cyber-Attack And Dynamic Quantizer, Mobin Saeedi, Jafar Zarei, Mehrdad Saif, Allahyar Montazeri
Electrical and Computer Engineering Publications
Nowadays, mobile robots are becoming an increasingly significant part of daily human life. Humanoid robots, wheeled mobile robots, aerial vehicles, mobile manipulators, and more are examples of mobile robots. As opposed to other robots, they are capable of moving autonomously, with sufficient intelligence to make decisions in response to the perceptions they receive from their environment. In today’s world, cooperative tasks and the ability to control robots via networks make them a component of cyber-physical systems (CPSs). In this study, mobile robots that are acting as a part of CPSs are examined. Data-network burden, signal quantizers, cyber security, delayed transition, …
Improvement To An Existing Multi-Level Capacitated Lot Sizing Problem Considering Setup Carryover, Backlogging, And Emission Control, Rifat Bin Hasan, Hany Osman, Ahmed A. Azab Ismail, Fazle Baki
Improvement To An Existing Multi-Level Capacitated Lot Sizing Problem Considering Setup Carryover, Backlogging, And Emission Control, Rifat Bin Hasan, Hany Osman, Ahmed A. Azab Ismail, Fazle Baki
Mechanical, Automotive & Materials Engineering Publications
This paper presents a multi-level, multi-item, multi-period capacitated lot-sizing problem. The lot-sizing problem studies can obtain production quantities, setup decisions and inventory levels in each period fulfilling the demand requirements with limited capacity resources, considering the Bill of Material (BOM) structure while simultaneously minimizing the production, inventory, and machine setup costs. The paper proposes an exact solution to Chowdhury et al. (2018)'s[1] developed model, which considers the backlogging cost, setup carryover & greenhouse gas emission control to its model complexity. The problem contemplates the Dantzig-Wolfe (D.W.) decomposition to decompose the multi-level capacitated problem into a single-item uncapacitated lot-sizing sub-problem. …
A New Economic Dispatch For Coupled Transmission And Active Distribution Networks Via Hierarchical Communication Structure, Wael T. El-Sayed, Ahmad Sa Awad, Maher Azzouz, Mostafa F. Shaaban
A New Economic Dispatch For Coupled Transmission And Active Distribution Networks Via Hierarchical Communication Structure, Wael T. El-Sayed, Ahmad Sa Awad, Maher Azzouz, Mostafa F. Shaaban
Electrical and Computer Engineering Publications
Traditionally, the economic dispatch problem (EDP) of the bulk generators connected to transmission networks (TNs) is solved in a centralized dispatching center (CDC) while modeling distribution networks as passive loads. With the increasing penetration levels of distributed generation, coordinating the economic dispatch between TNs and active distribution networks (ADNs) became vital to maximizing system efficiency. This article proposes a hierarchical communication structure, which requires minimal upgrades to the CDC, for solving the EDP of coupled TNs and ADNs. Based on the minimal data transfer between the CDC and distribution network operators, the problem is formulated and solved while considering the …
Open-Circuit Voltage Models For Battery Management Systems: A Review, Prarthana Pillai, Sneha Sundaresan, Pradeep Kumar, Krishna R. Pattipati, Balakumar Balasingam
Open-Circuit Voltage Models For Battery Management Systems: A Review, Prarthana Pillai, Sneha Sundaresan, Pradeep Kumar, Krishna R. Pattipati, Balakumar Balasingam
Mechanical, Automotive & Materials Engineering Publications
A battery management system (BMS) plays a crucial role to ensure the safety, efficiency, and reliability of a rechargeable Li-ion battery pack. State of charge (SOC) estimation is an important operation within a BMS. Estimated SOC is required in several BMS operations, such as remaining power and mileage estimation, battery capacity estimation, charge termination, and cell balancing. The open-circuit voltage (OCV) look-up-based SOC estimation approach is widely used in battery management systems. For OCV lookup, the OCV–SOC characteristic is empirically measured and parameterized a priori. The literature shows numerous OCV–SOC models and approaches to characterize them and use them in …
The Applications Of Blockchain Technologies To Electricity Markets, David Bowker, Vladislav Berezovsky, Marko Vukobratović, Santosh Jain, Subhendu Mukherjee, Fazel Mohammadi, Hannes Agabus
The Applications Of Blockchain Technologies To Electricity Markets, David Bowker, Vladislav Berezovsky, Marko Vukobratović, Santosh Jain, Subhendu Mukherjee, Fazel Mohammadi, Hannes Agabus
Electrical and Computer Engineering Publications
This paper is a summary of the CIGRE Technical Brochure 824 The Role of Blockchain Technologies in Power Markets [17]. The work of the contributors to the Technical Brochure is recognised. It is proposed to follow up this work in a new working group with a more in-depth look at the potential applications for blockchain in the area of energy trading.
Smart Supply Chain Management In Industry 4.0, Guoqing Zhang, Yiqin Yang, Guoqing Yang
Smart Supply Chain Management In Industry 4.0, Guoqing Zhang, Yiqin Yang, Guoqing Yang
Industrial and Manufacturing Systems Engineering Publications
The emerging information and communication technologies (ICT) related to Industry 4.0 play a critical role to enhance supply chain performance. Employing the smart technologies has led to so-called smart supply chains. Understanding how Industry 4.0 and related ICT affect smart supply chains and how smart supply chains evolve with the support of the advanced technologies are vital to practical and academic communities. Existing review works on smart supply chains with ICT mainly rely on the academic literature alone. This paper presents an integrated approach to explore the effects of Industry 4.0 and related ICT on smart supply chains, by combining …
Resilient Consensus Control Design For Dc Microgrids Against False Data Injection Attacks Using A Distributed Bank Of Sliding Mode Observers, Yousof Barzegari, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade
Resilient Consensus Control Design For Dc Microgrids Against False Data Injection Attacks Using A Distributed Bank Of Sliding Mode Observers, Yousof Barzegari, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade
Electrical and Computer Engineering Publications
This paper investigates the problem of false data injection attack (FDIA) detection in microgrids. The grid under study is a DC microgrid with distributed boost converters, where the false data are injected into the voltage data so as to investigate the effect of attacks. The proposed algorithm uses a bank of sliding mode observers that estimates the states of the neighbor agents. Each agent estimates the neighboring states and, according to the estimation and communication data, the detection mechanism reveals the presence of FDIA. The proposed control scheme provides resiliency to the system by replacing the conventional consensus rule with …
Multi-Agent Based Protection Scheme Using Current-Only Directional Overcurrent Relays For Looped/Meshed Distribution Systems, Mohammad Ali Ataei, Mohsen Gitizadeh, Matti Lehtonen, Roozbeh Razavi-Far
Multi-Agent Based Protection Scheme Using Current-Only Directional Overcurrent Relays For Looped/Meshed Distribution Systems, Mohammad Ali Ataei, Mohsen Gitizadeh, Matti Lehtonen, Roozbeh Razavi-Far
Electrical and Computer Engineering Publications
The complexity of the design of the protection system using directional over current relays, for modern power distribution systems has been increased due to the looped/meshed operation and the penetration of distributed generations. Finding a reliable and efficient protection scheme that can be easily implemented in these distribution systems is a major challenge. An efficient solution could be the use of artificial intelligent-based multi-agent systems. This paper proposes a novel distributed intelligent based multi-agent protection scheme, which makes use of current-only directional over current relays as agents for detecting and locating faults and isolating faulty areas (lines/busbars) in the distribution …
Optimal Kanban Number: An Integrated Lean And Simulation Modelling Approach, Angassu Girma Mullisa, Walid Abdul-Kader
Optimal Kanban Number: An Integrated Lean And Simulation Modelling Approach, Angassu Girma Mullisa, Walid Abdul-Kader
Mechanical, Automotive & Materials Engineering Publications
Kanban is credited as a major means to controlling the inventory within a manufacturing system. Determining the optimum number of Kanban is of great interest for manufacturing industries. To fulfill this aim, an integrated modelling approach using discrete-event simulation technique and Kanban Lean tool is developed for a pull system ensuring an optimum Kanban number. This research has developed a base-case simulation model which was statistically validated using ANOVA. Initial Kanban number obtained from the mathematical model of Toyota motor company is used to obtain initial results. A Kanban integrated simulation model is developed that employed the idea of pull …
Case Study Of Tv Spectrum Sensing Model Based On Machine Learning Techniques, Abdalaziz Mohammad, Faroq Ali Awin, Esam Abdel-Raheem
Case Study Of Tv Spectrum Sensing Model Based On Machine Learning Techniques, Abdalaziz Mohammad, Faroq Ali Awin, Esam Abdel-Raheem
Electrical and Computer Engineering Publications
Spectrum sensing is an essential component in cognitive radios (CR). Machine learning (ML) algorithms are powerful techniques for designing a promising spectrum sensing model. In this work, the supervised ML algorithms, support vector machine (SVM), k-nearest neighbor (kNN), and decision tree (DT) are applied to detect the existence of primary users (PU) over the TV band. Moreover, the Principal Component Analysis (PCA) is incorporated to speed up the learning of the classifiers. Furthermore, the ensemble classification-based approach is employed to enhance the classifier predictivity and performance. Simulation results have shown that the highest performance is achieved by the ensemble classifier. …
Operating Room Scheduling Optimization Based On A Fuzzy Uncertainty Approach And Metaheuristic Algorithms, P Maghzi, M Mohammadi, S H.R Pasandideh, B Naderi
Operating Room Scheduling Optimization Based On A Fuzzy Uncertainty Approach And Metaheuristic Algorithms, P Maghzi, M Mohammadi, S H.R Pasandideh, B Naderi
Electrical and Computer Engineering Publications
Today, planning and scheduling problems are the most significant issues in the world and make a great impact on improving organizational productivity and serving systems such as medical and healthcare providers. Since operating room planning is a major problem in healthcare organizations, the optimization of medical staff and equipment plays an essential role. Thus, this study presents a multi-objective mathematical model with a new categorization (preoperative, intraoperative, and postoperative) to minimize operating room scheduling and the risk of using equipment. Time constraints in healthcare systems and medical equipment limited capacity are the most significant considered limitation in the present study. …
A New Loss Generation Body Force Model For Fan/Compressor Blade Rows: Application To Uniform And Non-Uniform Inflow In Rotor 67, Syamak Pazireh, J. J. Defoe
A New Loss Generation Body Force Model For Fan/Compressor Blade Rows: Application To Uniform And Non-Uniform Inflow In Rotor 67, Syamak Pazireh, J. J. Defoe
Mechanical, Automotive & Materials Engineering Publications
Despite advances in computational power, the cost of time-accurate flows in axial compressor and fan stages with spatially non-uniform inflow is still too high for design-stage use in industry. Body force modeling reduces the computation time to practical levels, mainly by reducing the problem to a steady one. These computations are important to determine efficiency penalties associated with non-uniform inflows. Previous studies of body force methods have, in most cases, relied on computations with the presence of the blades to calibrate loss models. In some recent studies, uncalibrated models have been used, but such models can drop off in accuracy …
State Of Energy Estimation Of Li-Ion Batteries Using Deep Neural Network And Support Vector Regression, Pradeep Kumar, Yasser Rafat, Paolo Cicconi, Mohammad Saad Alam
State Of Energy Estimation Of Li-Ion Batteries Using Deep Neural Network And Support Vector Regression, Pradeep Kumar, Yasser Rafat, Paolo Cicconi, Mohammad Saad Alam
Mechanical, Automotive & Materials Engineering Publications
Efficient management of the power and energy output of a high voltage battery pack requires a precise estimation of the State of Energy (SOE). For the accurate estimation of SOE, this work presents two data-driven methods as Deep Neural Network (DNN) and a regression model, i.e. Support Vector Regression (SVR). The effectiveness of the SOE estimation was compared, analysed, and studied through these models under similar conditions. For performance enhancement of estimation, a modified algorithm based on the grid search of optimized hyperparameters was proposed and evaluated in both the models. For training of the model at subsequent thermal ranges, …
Milling Of Inconel 718: An Experimental And Integrated Modeling Approach For Surface Roughness, Sadaf Zahoor, Adeel Shehzad, Muhammad Salman Habib
Milling Of Inconel 718: An Experimental And Integrated Modeling Approach For Surface Roughness, Sadaf Zahoor, Adeel Shehzad, Muhammad Salman Habib
Mechanical, Automotive & Materials Engineering Publications
Inconel 718, a hard-to-cut superalloy is reputed for having poor machining performance due to its low thermal conductivity. Consequently, the surface quality of the machined parts suffers. The surface roughness value must fall within the stringent limits to ensure the functional performance of the components used in aerospace and bioimplant applications. One doable way to enhance its machinability is the adequate dissipation of heat from the machining zone through efficient and ecofriendly cooling environment. With this perspective, an experimental and integrated green-response surface machiningbased- evolutionary optimization (G-RSM-EO) approach is presented during this investigation. The results are compared with two base-line …
A Hybrid Framework For Detecting And Eliminating Cyber-Attacks In Power Grids, Arshia Aflaki, Mohsen Gitizadeh, Roozbeh Razavi-Far, Vasile Palade, Ali Akbar Ghasemi
A Hybrid Framework For Detecting And Eliminating Cyber-Attacks In Power Grids, Arshia Aflaki, Mohsen Gitizadeh, Roozbeh Razavi-Far, Vasile Palade, Ali Akbar Ghasemi
Electrical and Computer Engineering Publications
The work described in this paper aims to detect and eliminate cyber-attacks in smart grids that disrupt the process of dynamic state estimation. This work makes use of an unsupervised learning method, called hierarchical clustering, in an attempt to create an artificial sensor to detect two different cyber-sabotage cases, known as false data injection and denial-of-service, during the dynamic behavior of the power system. The detection process is conducted by using an unsupervised learning-enhanced approach, and a decision tree regressor is then employed for removing the threat. The dynamic state estimation of the power system is done by Kalman filters, …
Generative Adversarial Network-Based Scheme For Diagnosing Faults In Cyber-Physical Power Systems, Hossein Hassani, Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade
Generative Adversarial Network-Based Scheme For Diagnosing Faults In Cyber-Physical Power Systems, Hossein Hassani, Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade
Electrical and Computer Engineering Publications
This paper presents a novel diagnostic framework for distributed power systems that is based on using generative adversarial networks for generating artificial knockoffs in the power grid. The proposed framework makes use of the raw data measurements including voltage, frequency, and phase-angle that are collected from each bus in the cyber-physical power systems. The collected measurements are firstly fed into a feature selection module, where multiple state-of-the-art techniques have been used to extract the most informative features from the initial set of available features. The selected features are inputs to a knockoff generation module, where the generative adversarial networks are …
The Effect Of Blade Count On Body Force Model Performance For Axial Fans, Palek Saini, Jeffrey J. Defoe
The Effect Of Blade Count On Body Force Model Performance For Axial Fans, Palek Saini, Jeffrey J. Defoe
Mechanical, Automotive & Materials Engineering Publications
Body force models enable inexpensive numerical simulations of turbomachinery. The approach replaces the blades with sources of momentum/energy. Such models capture a “smeared out” version of the blades’ effect on the flow, reducing computational cost. The body force model used in this paper has been widely used in aircraft engine applications. Its implementation for low speed, low solidity (few blades) turbomachines, such as automotive cooling fans, enables predictions of cooling flows and component temperatures without calibrated fan curves. Automotive cooling fans tend to have less than 10 blades, which is approximately 50% of blade counts for modern jet engine fans. …
Hvdc Circuit Breakers: A Comprehensive Review, Fazel Mohammadi, Kumars Roubehi, Masood Hajian, Kaveh Niayesh, Gevork B. Gharehpetian, Hani Saas, Hasan Ali Mohd, Vijay K. Sood
Hvdc Circuit Breakers: A Comprehensive Review, Fazel Mohammadi, Kumars Roubehi, Masood Hajian, Kaveh Niayesh, Gevork B. Gharehpetian, Hani Saas, Hasan Ali Mohd, Vijay K. Sood
Electrical and Computer Engineering Publications
High Voltage Direct Current (HVDC) systems are now well-integrated into AC systems in many jurisdictions. The integration of Renewable Energy Sources (RESs) is a major focus and the role of HVDC systems is expanding. However, the protection of HVDC systems against DC faults is a challenging issue that can have negative impacts on the reliable and safe operation of power systems. Practical solutions to protect HVDC grids against DC faults without a widespread power outage include (1) using DC Circuit Breakers (CBs) to isolate the faulty DC-link, (2) using a proper converter topology to interrupt the DC fault current, and/or …
Cleaning Of Floating Photovoltaic Systems: A Critical Review On Approaches From Technical And Economic Perspectives, Rafi Zahedi, Parisa Ranjbaran, Gevork B. Gharehpetian, Fazel Mohammadi, Roya Ahmadiahangar
Cleaning Of Floating Photovoltaic Systems: A Critical Review On Approaches From Technical And Economic Perspectives, Rafi Zahedi, Parisa Ranjbaran, Gevork B. Gharehpetian, Fazel Mohammadi, Roya Ahmadiahangar
Electrical and Computer Engineering Publications
There are some environmental factors, such as ambient temperature, dust, etc., which cause a reduction in the efficiency of Photovoltaic (PV) systems. Installation of PV panels on the water surface, commonly known as Floating Photovoltaic (FPV) systems, is one solution to employ PV panels in a cooler environment, achieve higher efficiency, and reduce water evaporation. FPV systems open up new opportunities for scaling up solar generating capacity, especially in countries with high population density and valuable lands, as well as countries with high evaporation rates and water resources deficiency. Since the FPV system is an almost new concept, its cleaning …
A Novel Stochastic Predictive Stabilizer For Dc Microgrids Feeding Cpls, Elham Kowsari, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif, Tomislav Dragicevic, Mohammad Hassan Khooban
A Novel Stochastic Predictive Stabilizer For Dc Microgrids Feeding Cpls, Elham Kowsari, Jafar Zarei, Roozbeh Razavi-Far, Mehrdad Saif, Tomislav Dragicevic, Mohammad Hassan Khooban
Electrical and Computer Engineering Publications
In this work, a novel nonlinear approach is proposed for the stabilization of microgrids (MGs) with constant power loads (CPLs). The proposed method is constructed based on the incorporation of a pseudo-extended Kalman filter (EKF) into stochastic nonlinear model predictive control (MPC). In order to achieve high-performance and optimal control in dc MGs, estimating the instantaneous power flow of the uncertain CPLs and the available power units is essential. Thus, by utilizing the advantages of the stochastic MPC and the pseudo-EKF, an effective control solution for the stabilization of dc islanded MGs with CPLs is established. This technique develops a …
Emerging Challenges In Smart Grid Cybersecurity Enhancement: A Review, Fazel Mohammadi
Emerging Challenges In Smart Grid Cybersecurity Enhancement: A Review, Fazel Mohammadi
Electrical and Computer Engineering Publications
In this paper, a brief survey of measurable factors affecting the adoption of cybersecurity enhancement methods in the smart grid is provided. From a practical point of view, it is a key point to determine to what degree the cyber resilience of power systems can be improved using cost-effective resilience enhancement methods. Numerous attempts have been made to the vital resilience of the smart grid against cyber-attacks. The recently proposed cybersecurity methods are considered in this paper, and their accuracies, computational time, and robustness against external factors in detecting and identifying False Data Injection (FDI) attacks are evaluated. There is …
A Comprehensive Review On Brushless Doubly-Fed Reluctance Machine, Omid Sadeghian, Sajjad Tohidi, Behnam Mohammadi-Ivatloo, Fazel Mohammadi
A Comprehensive Review On Brushless Doubly-Fed Reluctance Machine, Omid Sadeghian, Sajjad Tohidi, Behnam Mohammadi-Ivatloo, Fazel Mohammadi
Electrical and Computer Engineering Publications
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. The Brushless Doubly-Fed Reluctance Machine (BDFRM) has been widely investigated in numerous research studies since it is brushless and cageless and there is no winding on the rotor of this emerging machine. This feature leads to several advantages for this machine in comparison with its induction counterpart, i.e., Brushless Doubly-Fed Induction Machine (BDFIM). Less maintenance, less power losses, and also more reliability are the major advantages of BDFRM compared to BDFIM. The design complexity of its reluctance rotor, as well as flux patterns for indirect connection between the two windings mounted …
Adversarial Learning On Incomplete And Imbalanced Medical Data For Robust Survival Prediction Of Liver Transplant Patients, Ehsan Hallaji, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif
Adversarial Learning On Incomplete And Imbalanced Medical Data For Robust Survival Prediction Of Liver Transplant Patients, Ehsan Hallaji, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif
Electrical and Computer Engineering Publications
The scarcity of liver transplants necessitates prioritizing patients based on their health condition to minimize deaths on the waiting list. Recently, machine learning methods have gained popularity for automatizing liver transplant allocation systems, which enables prompt and suitable selection of recipients. Nevertheless, raw medical data often contain complexities such as missing values and class imbalance that reduce the reliability of the constructed model. This paper aims at eliminating the respective challenges to ensure the reliability of the decision-making process. To this aim, we first propose a novel deep learning method to simultaneously eliminate these challenges and predict the patients' survival …
The Role Of Blockchain Technologies In Power Markets, David Bowker, Fazel Mohammadi, Abdulraheem Al Gami, Alex Bakakat, Andres Alonso, Bhawna Kapoor, Davor Bosnjak, Edileu Cardoso, Erik Cuadros, Gowri Rajappan, Greg Thorpe, Hannah Davis, Hannes Agabus, Hero Morales, Jelena Milosavljevic, Juan Duran Hernandez, Julian Betancur, Marcelo De Araujo, Nasser Al-Shahrani, Toshiyuki Sawa, Umit Cali, Victor Francisco, Victor Tan, Vijay Vadlamudi, Vladislav Berezovsky, Yousef Almarwan, Yulia Zhilkina
The Role Of Blockchain Technologies In Power Markets, David Bowker, Fazel Mohammadi, Abdulraheem Al Gami, Alex Bakakat, Andres Alonso, Bhawna Kapoor, Davor Bosnjak, Edileu Cardoso, Erik Cuadros, Gowri Rajappan, Greg Thorpe, Hannah Davis, Hannes Agabus, Hero Morales, Jelena Milosavljevic, Juan Duran Hernandez, Julian Betancur, Marcelo De Araujo, Nasser Al-Shahrani, Toshiyuki Sawa, Umit Cali, Victor Francisco, Victor Tan, Vijay Vadlamudi, Vladislav Berezovsky, Yousef Almarwan, Yulia Zhilkina
Electrical and Computer Engineering Publications
Blockchain technology offers some significant potential benefits for improving electricity markets. This TB reviews the potential applications for blockchain as energy markets transform. The WG also assessed 37 projects which have already implemented blockchain into energy markets to understand the current level of actual implementation and the benefits in the real world.
Short-Term Load Forecasting Of Microgrid Via Hybrid Support Vector Regression And Long Short-Term Memory Algorithms, Arash Moradzadeh, Sahar Zakeri, Maryam Shoaran, Behnam Mohammadi-Ivatloo, Fazel Mohammadi
Short-Term Load Forecasting Of Microgrid Via Hybrid Support Vector Regression And Long Short-Term Memory Algorithms, Arash Moradzadeh, Sahar Zakeri, Maryam Shoaran, Behnam Mohammadi-Ivatloo, Fazel Mohammadi
Electrical and Computer Engineering Publications
© 2020 by the authors. Short-Term Load Forecasting (STLF) is the most appropriate type of forecasting for both electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed via the hybrid applications of machine learning. The proposed model is a modified Support Vector Regression (SVR) and Long Short-Term Memory (LSTM) called SVR-LSTM. In order to forecast the load, the proposed method is applied to the data related to a rural MG in Africa. Factors influencing the MG load, such as various household types and commercial entities, are selected as input variables and load profiles as target …
Optimal Power Flow Incorporating Facts Devices And Stochastic Wind Power Generation Using Krill Herd Algorithm, Arsalan Abdollahi, Ali Asghar Ghadimi, Mohammad Reza Miveh, Fazel Mohammadi, Francisco Jurado
Optimal Power Flow Incorporating Facts Devices And Stochastic Wind Power Generation Using Krill Herd Algorithm, Arsalan Abdollahi, Ali Asghar Ghadimi, Mohammad Reza Miveh, Fazel Mohammadi, Francisco Jurado
Electrical and Computer Engineering Publications
© 2020 by the authors. This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta‐heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem using Weibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, …