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Multi-Step Solar Power Forecasting using Deep Learning Methods 基于深度学习方法的多步太阳能发电预测
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093688
Zemouri Nahed, Bouzgou Hassen, A. Chouder, Douak Mohamed
{"title":"Multi-Step Solar Power Forecasting using Deep Learning Methods","authors":"Zemouri Nahed, Bouzgou Hassen, A. Chouder, Douak Mohamed","doi":"10.1109/ICATEEE57445.2022.10093688","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093688","url":null,"abstract":"For the effective use and integration of solar energy into the power system, precise forecasting of photovoltaic power generation is required. Currently, forecasting methods can accurately predict PV power with different step horizons, but they fail to maintain a good resolution of accurate forecasting when we increase the number of steps ahead. This paper addresses the forecasting of PV performance of a system with multi-step ahead by considering 1, 2 and 3 steps ahead of 15-minute scenarios using Long Short Term Memory (LSTM) and Convolutional Neural Network (CNN) which are kinds of Deep Learning method . The originality of this study is that the forecasted value of solar power is put against the real data issued from the PV system. All the obtained results are evaluated using different statistical indicators such as Mean Absolute Percentage Error (MAPE), Normalized Mean Square Error (NMSE), Coefficient of determination (R2) and Forecast skill (FS). The low values of the different statistical indicators justify the goodness of the proposed approaches.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121624804","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
Contribution to the analysis of the electromagnetic field radiated by lightning taking into account the conductivity of the ground 对考虑地面电导率的闪电辐射电磁场分析的贡献
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093740
A. Chahmi, M. Birane
{"title":"Contribution to the analysis of the electromagnetic field radiated by lightning taking into account the conductivity of the ground","authors":"A. Chahmi, M. Birane","doi":"10.1109/ICATEEE57445.2022.10093740","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093740","url":null,"abstract":"The interest of this paper is the analysis of the electromagnetic field radiated by lightning under a homogeneous soil (the conductivity of the finite soil) and in air, characterized by a finite conductivity. The calculation of the electromagnetic field radiated by the return arc phase of a downward lightning strike has been successfully performed. The computer implementation of this calculation has been done by developing a simulation program under MATLAB environment which offers very interesting.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130059325","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
Prototype of an affordable continuum robot-based IoT accelerometer and its kinematic modeling 一种经济实惠的基于机器人的物联网加速度计原型及其运动学建模
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093759
Mohamed Razi Morakchi, Mabrouk Defdaf, Z. Ghemari, S. Djeffal
{"title":"Prototype of an affordable continuum robot-based IoT accelerometer and its kinematic modeling","authors":"Mohamed Razi Morakchi, Mabrouk Defdaf, Z. Ghemari, S. Djeffal","doi":"10.1109/ICATEEE57445.2022.10093759","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093759","url":null,"abstract":"The continuum robot-based IoT has been the focus of researchers over the last decades because of its affordability cost-less manufacturing. To this end, in this paper, continuum robot’s design is briefly described. Then the forward kinematic modeling (FKM) for a single section continuum robot is derived and from which a new empirical formula for the FKM is proposed to simplify its mathematical complexity. After that, Particle swarm optimization (PSO) is adopted to figure out the inverse kinematic model of a single section continuum robot. To verify the reliability of the proposed empirical formula as well as PSO efficiency, a graceful prototype of continuum robot coupled with data logger named accelerometer 345 is attached on the robot’s end-effector to record its positions for given bending angles. Finally, the obtained robots end effector positions from the accelerometer are used as inputs to PSO and its found that the resulting bending angles from both PSO and the angle meter are overlapped. It is noteworthy to say that the proposed technique of logging data-based accelerometer for tracking continuum robot is considered for the first time as an alternative technique to perfectly track the robot’s motion.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130959705","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
ECG Beats Classification with Interpretability 心电图跳动分类与可解释性
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093744
Radhouane Hammachi, N. Messaoudi, S. Belkacem
{"title":"ECG Beats Classification with Interpretability","authors":"Radhouane Hammachi, N. Messaoudi, S. Belkacem","doi":"10.1109/ICATEEE57445.2022.10093744","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093744","url":null,"abstract":"Recently, a lot of emphasis has been placed on Artificial Intelligence (AI) and Machine Learning (ML) algorithms in medicine and the healthcare industry. Cardiovascular disease (CVD), is one of the most common causes of death globally, and Electrocardiogram (ECG) is the most widely used diagnostic tool to investigate this disease. However, the analysis of ECG signals is a very difficult process. Therefore, in this work, automated classification of ECG data into five different arrhythmia classes is proposed, based on MIT-BIH dataset. Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Deep Learning (DL) models were used. The black-box nature of these complex models imposes the need to explain their outcomes. Hence, both Permutation Feature Importance (PFI) with Gradient-Weighted Class Activation Maps (Grad-CAM) interpretability techniques were investigated. Using the K-Fold cross-validation method, the models achieved an accuracy of 97.1% and 98.5% for CNN and LSTM, respectively.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131119778","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
Faults Detection of PV Systems Based on Extracted Parameters using Modified Grey Wolf Algorithm 基于改进灰狼算法提取参数的光伏系统故障检测
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093747
Ahmed Faris Amiri, H. Oudira, A. Chouder
{"title":"Faults Detection of PV Systems Based on Extracted Parameters using Modified Grey Wolf Algorithm","authors":"Ahmed Faris Amiri, H. Oudira, A. Chouder","doi":"10.1109/ICATEEE57445.2022.10093747","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093747","url":null,"abstract":"Accurate and reliable fault detection procedures are crucial to ensure normal operation of photovoltaic (PV) systems. To this end, the use of trusted model is the major step and an essential tool for monitoring and supervision the system under consideration. In his paper a suggested procedure based on three main steps is presented. Firstly, the unknown parameters of the one diode model (ODM) are accurately identified using modified grey wolf (MGW) algorithm. Subsequently, based on the extracted parameters, the evolution of maximum power point model was modeled and simulated versus measurements of a grid connected real MPP system. Finally, the PV array is simulated to take out the MPP coordinates by using a PSIM™/Matlab™ co-simulation, as well as an efficient fault detection process based on simple approach is implemented. The obtain results show the effectiveness of this method in detecting and diagnosing faults for real time application.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134266406","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
Iterative Association of Isolated Homogeneous Image Regions using the Minimum Distance between Them 基于最小距离的孤立均匀图像区域迭代关联
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093100
Haider Makki Hammed, Maha Abbas Hutaihit, Wasan Hashim Al Masoody
{"title":"Iterative Association of Isolated Homogeneous Image Regions using the Minimum Distance between Them","authors":"Haider Makki Hammed, Maha Abbas Hutaihit, Wasan Hashim Al Masoody","doi":"10.1109/ICATEEE57445.2022.10093100","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093100","url":null,"abstract":"The proposed algorithm iteratively combining isolated homogeneous regions based on the search for the minimum distance between the centers of these regions. The algorithm is works to combine isolated regions in bigger region and still combines regions until match the ending conditions of the algorithm, reached the maximum number of loops or a segment region and the minimum distance between the segments, or the number of segments. It has been established that the image size from 10000 to 250000 pixels searches the minimum distance between the segments based on the gradual increase in the search radius it provides a win in the performance of the segmentation algorithm.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121428899","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
Improved Residual U-Net for COVID-19 Lung Infection Multi-Class Segmentation in CT Image 基于改进残留U-Net的COVID-19肺部感染CT图像多类分割
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093693
Sahib Khouloud, Melouah Ahlem, Touré Fadel, Slim Amel
{"title":"Improved Residual U-Net for COVID-19 Lung Infection Multi-Class Segmentation in CT Image","authors":"Sahib Khouloud, Melouah Ahlem, Touré Fadel, Slim Amel","doi":"10.1109/ICATEEE57445.2022.10093693","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093693","url":null,"abstract":"Abstract—COVID-19, the new coronavirus, is a threat to global public health. Today, there is an urgent need for automatic COVID-19 infection detection tools. This work proposes an automatic COVID-19 infection detection system based on CT image segmentation. A deep learning network developed from an improved Residual U-net architecture extracts infected areas from a CT lung image. We tested the system on COVID-19 public CT images. An evaluation using the F1 score, sensitivity, specificity and accuracy proved the effectiveness of the proposed network. Besides, experimental results showed that the proposed network performed well in extracting infection regions so, it can assist experts in COVID-19 infection detection.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122457913","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
Predictive Power Control and Power Management for Islanded PV Microgrid with Battery-Supercapacitor Hybrid Energy Storage System 电池-超级电容器混合储能系统孤岛光伏微电网预测功率控制与功率管理
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093742
Soundous Remache, Seif El Islam Remache, K. Barra
{"title":"Predictive Power Control and Power Management for Islanded PV Microgrid with Battery-Supercapacitor Hybrid Energy Storage System","authors":"Soundous Remache, Seif El Islam Remache, K. Barra","doi":"10.1109/ICATEEE57445.2022.10093742","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093742","url":null,"abstract":"Energy storage systems are needed in islanded photovoltaic microgrids to ensure the load requirements when there is insufficient solar irradiation. The low cost and the high energy density make the lead acid batteries ideal for many applications in microgrids, however the major issue is their poor service life. Battery-Supercapacitor hybrid energy storage system with an optimal energy flow management strategy are proposed in this paper. Due to their high power density, supercapacitors are used to respond to quick load fluctuations and reduce the stress on batteries. The photovoltaic generator, batteries and supercapacitors are connected to the DC bus through DC-DC converters controlled using the model predictive control. Depending on solar irradiation, batteries state of charge and supercapacitors state of charge, many operation modes are simulated and discussed showing the reliability of the proposed power management strategy.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"16 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067446","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
EMD Based Average Wavelet Coefficient Method for ECG Signal Denoising 基于EMD的平均小波系数法心电信号去噪
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093738
Nabi Zahia, Ouali Mohammed Assam, Ladjal Mohamed, Bennacer Hamza
{"title":"EMD Based Average Wavelet Coefficient Method for ECG Signal Denoising","authors":"Nabi Zahia, Ouali Mohammed Assam, Ladjal Mohamed, Bennacer Hamza","doi":"10.1109/ICATEEE57445.2022.10093738","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093738","url":null,"abstract":"Electrocardiogram (ECG) is one of the main tools to interpret and identify cardiovascular disease. ECG signals are frequently submitted to various noises, which alter the original signal and reduce its quality. ECG signal filtering enables cardiologists to assess heart health accurately. The present paper presents a newfound approach for ECG signal denoising built on two techniques which are EMD (Empirical Mode Decomposition) and AWC (Average Wavelet Coefficient method). The basic idea behind the suggested technique initially consists of deconstructing noisy ECG signal data on a restricted number of IMFs (Intrinsic Mode Functions) and then using the AWC technique to compute each IMF’s Hurst exponent. Finally, after a thresholding operation, the clean ECG signal is recovered by adding all IMFs, excluding those considered parts of noise. The suggested approach is assessed over experiments using the MIT-BIH databases. The experimental results reveal that the suggested method efficiently extracts ECG signals from noisy data samples.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129884262","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
Analysis and Design of Dual-Band Frequency High Gain FSS Microstrip Antenna 双频高增益FSS微带天线的分析与设计
2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE) Pub Date : 2022-11-26 DOI: 10.1109/ICATEEE57445.2022.10093709
Benmeddour Fadila, F. Brik, Radhia Herizi
{"title":"Analysis and Design of Dual-Band Frequency High Gain FSS Microstrip Antenna","authors":"Benmeddour Fadila, F. Brik, Radhia Herizi","doi":"10.1109/ICATEEE57445.2022.10093709","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093709","url":null,"abstract":"In this work, a frequency selective surface superstrat dual-band microstrip antenna is proposed. In order to enhance the antenna's gain, the FSS layer is obtained via a periodic arrangement of 5x8 unit motifs in the x-y axis. The FSS layer acts as a reflection surface on the patch, increasing the antenna's gain at higher frequencies. The rectangular patch with a slot and full ground plane is used to create the dual-band antenna.Ours results indicate that the proposed design improves gain and directivity, and it could be used for high gain and wideband systems in the 5G applications.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784274","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
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