Zbigniew Leonowicz
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View article: RETRACTED: Anazi et al. Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies. Energies 2023, 16, 2337
RETRACTED: Anazi et al. Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies. Energies 2023, 16, 2337 Open
The journal Energies retracts the article “Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies” [...]
View article: Editorial: Enabling technologies and business models for energy communities
Editorial: Enabling technologies and business models for energy communities Open
This Research Topic on “ Enabling Technologies and Business Models for Energy Communities ” presents a comprehensive exploration of critical facets in the realm of sustainable energy transitions. The Research Topic encompasses diverse topi…
View article: Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead Open
Short-term load forecasting (STLF) is critical for the energy industry. Accurate predictions of future electricity demand are necessary to ensure power systems’ reliable and efficient operation. Various STLF models have been proposed in re…
View article: Numerical Investigation of Power Conversion Efficiency of Sustainable Perovskite Solar Cells
Numerical Investigation of Power Conversion Efficiency of Sustainable Perovskite Solar Cells Open
Perovskite solar cells have been researched for high efficiency only in the last few years. These cells could offer an efficiency increase of about 3% to more than 15%. However, lead-based perovskite materials are very harmful to the envir…
View article: RETRACTED: Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies
RETRACTED: Investigation and Evaluation of the Hybrid System of Energy Storage for Renewable Energies Open
The system presented in this paper can change the energy storage landscape by having the advantages of a compressed air storage system and pump storage, as well as minimizing the disadvantages of these two systems. One of the advantages of…
View article: Hyperspectral Image Classification with Deep CNN Using an Enhanced Elephant Herding Optimization for Updating Hyper-Parameters
Hyperspectral Image Classification with Deep CNN Using an Enhanced Elephant Herding Optimization for Updating Hyper-Parameters Open
Deep learning approaches based on convolutional neural networks (CNNs) have recently achieved success in computer vision, demonstrating significant superiority in the domain of image processing. For hyperspectral image (HSI) classification…
View article: An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)
An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI) Open
Alzheimer’s disease (AD) is a deadly cognitive condition in which people develop severe dementia symptoms. Neurologists commonly use a series of physical and mental tests to diagnose AD that may not always be effective. Damage to brain cel…
View article: IOT-Enabled Model for Weed Seedling Classification: An Application for Smart Agriculture
IOT-Enabled Model for Weed Seedling Classification: An Application for Smart Agriculture Open
Smart agriculture is a concept that refers to a revolution in the agriculture industry that promotes the monitoring of activities necessary to transform agricultural methods to ensure food security in an ever-changing environment. These da…
View article: Robust Control of SEDCM by Fuzzy-PSO
Robust Control of SEDCM by Fuzzy-PSO Open
Industries have many rotational operations that are used for design, transport, lift, drilling, rolling, robotics, and many other applications. These rotating applications require a proper controller for accurate control of the operation. …
View article: A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images
A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images Open
With the continuing global pandemic of coronavirus (COVID-19) sickness, it is critical to
\nseek diagnostic approaches that are both effective and rapid to limit the number of people infected with the
\nsevere acute respiratory syndrome co…
View article: Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches
Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches Open
Co-designing energy systems across multiple energy carriers is increasingly attracting attention of researchers and policy makers, since it is a prominent means of increasing the overall efficiency of the energy sector. Special attention i…
View article: On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice
On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice Open
Prediction of work Travel mode choice is one of the most important parts of travel demand
\nforecasting. Planners can achieve sustainability goals by accurately forecasting how people will get to and
\nfrom work. In the prediction of trave…
View article: Thin-Film Carbon Nitride (C2N)-Based Solar Cell Optimization Considering Zn1−xMgxO as a Buffer Layer
Thin-Film Carbon Nitride (C2N)-Based Solar Cell Optimization Considering Zn1−xMgxO as a Buffer Layer Open
Carbon nitride (C2N), a two-dimensional material, is rapidly gaining popularity in the photovoltaic (PV) research community owing to its excellent properties, such as high thermal and chemical stability, non-toxic composition, and low fabr…
View article: Supraharmonic Pollution Emitted by Nonlinear Loads in Power Networks—Ongoing Worldwide Research and Upcoming Challenges
Supraharmonic Pollution Emitted by Nonlinear Loads in Power Networks—Ongoing Worldwide Research and Upcoming Challenges Open
Researchers at many different institutions around the world study voltage and current waveform distortions in power networks using a variety of techniques. Due to the uncontrolled growing number of nonlinear devices supplied by electrical …
View article: A Modified Multi-Level Inverter System for Grid-Tied DES Applications
A Modified Multi-Level Inverter System for Grid-Tied DES Applications Open
Energy harvesting from renewable energy sources is trending in the world due to inventions in modern technology. This paper proposes a grid-tied single-phase modified W-type 81-level inverter. Inverter design equations to calculate various…
View article: Smart Classroom Monitoring Using Novel Real-Time Facial Expression Recognition System
Smart Classroom Monitoring Using Novel Real-Time Facial Expression Recognition System Open
Emotions play a vital role in education. Technological advancement in computer vision using deep learning models has improved automatic emotion recognition. In this study, a real-time automatic emotion recognition system is developed incor…
View article: Intelligent Fault Detection in Hall-Effect Rotary Encoders for Industry 4.0 Applications
Intelligent Fault Detection in Hall-Effect Rotary Encoders for Industry 4.0 Applications Open
Sensors are the foundational components of any smart machine system and are invaluable in all modern technologies. Consequently, faults and errors in sensors can have a significant negative impact on the setup. Intelligent, lightweight, an…
View article: Classification of Valvular Regurgitation Using Echocardiography
Classification of Valvular Regurgitation Using Echocardiography Open
Echocardiography (echo) is a commonly utilized tool in the diagnosis of various forms of valvular heart disease for its ability to detect types of cardiac regurgitation. Regurgitation represents irregularities in cardiac function and the e…
View article: Analyzing the Electronics of Image Sensors and Their Functionality to Develop Low Light-Emitting Source Image
Analyzing the Electronics of Image Sensors and Their Functionality to Develop Low Light-Emitting Source Image Open
Bioluminescence imaging has been used to visualize the biological effects of human beings and is a promising technique in a recent modality. In this study, the digital image technique is used to improve quality and recover images. The opti…
View article: Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP
Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP Open
Big IoT data is inherently distributed, high-dimensional, irregular, and sparse in nature. Fog computing model in its original form is by no means the optimal solution for mining big IoT data. However, utilizing the network edge for mining…
View article: Unveiling Frequently Co-Occurring Reasons of Attitudinal Acceptance of Intimate Partner Violence against Women: A Behavioral Data Science Perspective
Unveiling Frequently Co-Occurring Reasons of Attitudinal Acceptance of Intimate Partner Violence against Women: A Behavioral Data Science Perspective Open
The results of gender equality indicators across the world in the form of prevalence of intimate partner violence (IPV) against women are striking and has thus drawn the attention of policy makers as well as necessitates the adoption of a …
View article: Renewable Energy Sources as Backup for a Water Treatment Plant
Renewable Energy Sources as Backup for a Water Treatment Plant Open
The article is focused on the issue of blackouts in a water industry and the selection of a renewable energy source for a water treatment plant. In the case of power outage, it is necessary to constantly ensure the supply of a drinking wat…
View article: Distributed Generation Power Systems in Wastewater Management
Distributed Generation Power Systems in Wastewater Management Open
The article concerns the energy security of a wastewater treatment process caused by unforeseen situations related to the risk of electrical power outages. In this case, renewable energy sources based on distributed generation power system…
View article: A Survey on Different Plant Diseases Detection Using Machine Learning Techniques
A Survey on Different Plant Diseases Detection Using Machine Learning Techniques Open
Early detection and identification of plant diseases from leaf images using machine learning is an important and challenging research area in the field of agriculture. There is a need for such kinds of research studies in India because agr…
View article: Energy Diversification: A Friend or Foe to Economic Growth in Nordic Countries? A Novel Energy Diversification Approach
Energy Diversification: A Friend or Foe to Economic Growth in Nordic Countries? A Novel Energy Diversification Approach Open
Energy is essential to achieving economic growth, yet the production of energy results in the emission of carbon dioxide, the primary factor in the deterioration of the environment and the acceleration of climate change. In this sense, the…
View article: Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context
Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context Open
A significant portion of the Indian population lives in villages, some of which are located in grid-disconnected remote areas. The supply of electricity to these villages is not feasible or cost-effective, but an autonomous integrated hybr…
View article: Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey Open
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change. Landslide susceptibility mapping is vital to safeguard…