2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)最新文献_第7页

Experimental Characterization of Filter Reactors for Grid-connected Solar Photovoltaic Systems 并网太阳能光伏系统过滤反应器的实验表征

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842943

A. Faba, E. Cardelli

引用次数: 0

Predictive Optimal Dispatch for Islanded Distribution Grids considering Operating Reserve Constraints 考虑运行储备约束的孤岛配电网预测最优调度

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842967

S. Bruno, Giovanni Giannoccaro, Cosimo Iurlaro, M. L. Scala, Marco Menga

引用次数: 3

Climate Change Mitigation in Cities by Adopting Solar Streetlights with Energy Management Capabilities: Case of Nairobi 采用具有能源管理能力的太阳能路灯缓解城市气候变化:内罗毕案例

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842949

Willy Stephen Tounsi Fokui, Michael Juma Saulo, L. Ngoo

{"title":"Climate Change Mitigation in Cities by Adopting Solar Streetlights with Energy Management Capabilities: Case of Nairobi","authors":"Willy Stephen Tounsi Fokui, Michael Juma Saulo, L. Ngoo","doi":"10.1109/MELECON53508.2022.9842949","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9842949","url":null,"abstract":"This paper proposes the adoption of solar streetlights with an innovative energy management system that makes use of internet protocol cameras to replace existing conventional streetlights. Firstly, a 40W solar streetlight is sized and modeled. Then, the energy management system is designed to control and manage the operation of the streetlight. The energy management system is made up of an Arduino Pro Mini microcontroller. The streetlight is turned ON when the solar panel stops producing and turned OFF when the solar panel starts producing. When the streetlight is ON, the microcontroller begins to read motion information from the IP camera and inasmuch as motion is detected, the streetlight glows at 100%. Otherwise, it is dimmed to 24.1% of its full luminosity and in so doing saves energy. The entire system is designed and simulated using Proteus Professional software. Simulation results show the effectiveness of the energy management system in managing the operation of the modeled solar streetlight. By comparing the energy consumption of traditional High-Pressure Sodium lighting and intelligent solar street lighting, it is noted the savings in electrical energy will reduce greenhouse gases emitted into the atmosphere and hence positively contribute to climate change.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"166 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of a Power Source for Hydrogen Fuel Cell Railway Vehicles in Multiple Resonant LLC Converter with Parallel-Input and Series-Output 氢燃料电池轨道车辆电源在并联串输出多谐振LLC变换器中的应用

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843004

Dong-Kyun Kim, H. Lee, Chan-Bae Park, Jae-Bum Lee, S. Ryu, Jae-Hyeon Lim, Jin-Chul Kim

{"title":"Application of a Power Source for Hydrogen Fuel Cell Railway Vehicles in Multiple Resonant LLC Converter with Parallel-Input and Series-Output","authors":"Dong-Kyun Kim, H. Lee, Chan-Bae Park, Jae-Bum Lee, S. Ryu, Jae-Hyeon Lim, Jin-Chul Kim","doi":"10.1109/MELECON53508.2022.9843004","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843004","url":null,"abstract":"All over the world regulation of carbon emission is being reinforced. Therefore, the research is actively underway to use a hydrogen fuel cell, which has high energy efficiency and eco-friendly source as the main power for railroad vehicles. Currently, hydrogen fuel cell railway vehicles adopt the 3-Level boost converter as a step-up converter. However, it does not achieve a high density in hydrogen fuel cell railway vehicles. In this paper, multiple resonant converters are proposed as alternatives to 3-Level boost converters. Multiple resonant converters with parallel-input and series-output not only have large I/O voltage gain but also have benefits in high density, so they are suitable for hydrogen fuel cell railway vehicles. Due to the structure of multiple modules, deviation of the module output voltage can occur. To solve this problem, the frequency/duty control method is proposed. To confirm the validity of the multiple resonant converters with the proposed control method, 400 V input and $667sim$ 864 V/12 kW output prototype of the 3-Level boost converter and proposed converters are built and tested.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116608088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Power Quality Analysis of Power Converters for Photovoltaic Systems in Avionic Applications 航空电子应用光伏系统电源变换器的电能质量分析

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843029

A. Faba, E. Cardelli

引用次数: 0

Can Machine Learning Predict Mortality in Myocardial Infarction Patients within Several Hours of Hospitalization? A Comparative Analysis 机器学习能否在住院数小时内预测心肌梗死患者的死亡率?比较分析

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9842984

Christopher Farah, Yasmine Abu Adla, M. Awad

引用次数: 2

A Proposal for Customer Baseline Load Evaluation from Electricity Bills 根据电费帐单评估客户基线负荷的建议

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843014

M. L. Di Silvestre, P. Gallo, G. Restifo, E. R. Sanseverino, G. Sciumè, A. Vasile

{"title":"A Proposal for Customer Baseline Load Evaluation from Electricity Bills","authors":"M. L. Di Silvestre, P. Gallo, G. Restifo, E. R. Sanseverino, G. Sciumè, A. Vasile","doi":"10.1109/MELECON53508.2022.9843014","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843014","url":null,"abstract":"One of the most cost-effective solutions to address power systems’ issues due to the increasing penetration of distributed generation from unpredictable renewable energy sources is the implementation of Demand Response programs. New information technologies such as blockchain enable the secure and transparent aggregation of prosumers to provide Demand Response services without the need for an aggregator. In this context, the Blorin project aims to create a blockchain platform for the deployment of renewable energy and the provision of energy services, facilitating the aggregation of domestic end-users for participation in the Demand Response market. In order for end-user response to be quantified, it is necessary to identify a Customer Baseline Load, which represents the reference consumption of each customer participating in the program and the reference to design the economic compensation mechanism. Calculating an accurate baseline requires a measurement campaign, but this means waiting several days before the customer is able to participate in a Demand Response event. In this paper, a method based on the use of a reference load profile and electricity bills data is proposed to calculate the preliminary baseline of customers participating in the Blorin platform.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130307558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Single-Phase Inverter Evaluation for a Tokamak Non-Axisymmetric In-Vessel Coil Power Supply 托卡马克非轴对称容器内线圈电源单相逆变器评价

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843120

G. Griva, S. Musumeci, R. Bojoi, A. Lampasi, P. Zito, S. Bifaretti

引用次数: 3

Machine learning as an aid to predicting clinical outcome after stroke 机器学习在预测中风后临床结果中的辅助作用

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843093

Emilija Ćojbašić

{"title":"Machine learning as an aid to predicting clinical outcome after stroke","authors":"Emilija Ćojbašić","doi":"10.1109/MELECON53508.2022.9843093","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843093","url":null,"abstract":"Numerous models have been developed to predict mortality in spontaneous intracerebral hemorrhage (ICH), which is one of the types of stroke with high mortality [1] [2]. Prediction of the clinical outcome in ICH is a significant help to the neurologist in making decisions about the optimal treatment of the patient and personalized therapy. In this paper, neuro-fuzzy models for predicting mortality after spontaneous ICH based on initial clinical parameters have been developed and compared with published models based on artificial neural networks and logistic regression. A set of data on patients with spontaneous ICH published in a study [3] has been used, where patients were treated for a five-year period at a university clinical center belonging to tertiary health care. Patients older than 18 years of age who had evidence of spontaneous ICH on computed tomography of the brain have been considered. Data on 411 patients (199 men and 212 women), with mean age of 67.35 years, have been analyzed, of which 256 (62.29%) patients passed away in hospital during treatment and 155 (37.71%) patients survived. The developed neuro-fuzzy models have shown superiority compared to standard logistic regression models, while the accuracy of classification has been worse compared to the model based on artificial neural networks published in [3]. On the other hand, the developed neuro-fuzzy models have other advantages that have been discussed in the paper.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113986648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparing machine learning techniques for aquatic vegetation classification using Sentinel-2 data 比较基于Sentinel-2数据的水生植被分类机器学习技术

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) Pub Date : 2022-06-14 DOI: 10.1109/MELECON53508.2022.9843103

Erika Piaser, P. Villa

{"title":"Comparing machine learning techniques for aquatic vegetation classification using Sentinel-2 data","authors":"Erika Piaser, P. Villa","doi":"10.1109/MELECON53508.2022.9843103","DOIUrl":"https://doi.org/10.1109/MELECON53508.2022.9843103","url":null,"abstract":"Wetlands, among the most valuable ecosystems, are increasingly threatened by anthropogenic impacts and climate change. Mapping wetland vegetation changes is crucial for conservation, management, and restoration of such sensitive environments. Machine Learning (ML) algorithms, such as Random Forest (RF), Support Vector Machine (SVM), kNearest Neighbour (kNN), and Artificial Neural Networks (ANN) are commonly applied for wetland mapping based on remote sensing data. However, scientific literature on this topic is often biased towards limited study areas, and lacking generalization testing over heterogeneous environmental conditions (e.g. latitude, ecoregion, wetland type). In this study, we compared eight ensemble and standalone ML methods, aiming at finding the best performing ones for aquatic vegetation mapping using Sentinel-2 over nine study areas and different seasons. The classifiers were tested to distinguish nine different classes - five aquatic vegetation classes and four background land cover classes – with seasonal monthly composites (April-November) of spectral indices as input. Results suggest that ensemble methods, such as RF, generally show higher predictive power with respect to most of common standalone classifiers (e.g. kNN or DT), which show the highest level of overall disagreement. SVM method overcame all the other classifiers, both standalone and ensemble, over our reference dataset, scoring an overall accuracy of 0.977 ± 0.001; In particular, SVM was the best over transitional aquatic vegetation classes (helophytes and submerged-floating association), which are the ones most frequently misclassified by other methods. Further developments of this research will focus on assessing the influence on classification performance of predictor variables and variations in input features.","PeriodicalId":303656,"journal":{"name":"2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124590550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1