Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905462
A. Boukhriss
This work aims to study the active disturbance rejection control ADRC associated with incremental conductance IC (ADRC-IC), applied to the single-stage grid-connected PV system under atmospheric variation conditions, to control the maximum power point MPP. The control technique is compared with the conventional perturb and observe P&O control. ADRC is also used to control the inverter, connected to the grid through an RL filter, to keep the DC bus voltage constant concerning the reference provided by the MPP control unit and also to ensure a unit power factor at the power injected in the network.
{"title":"ADRC Control for a Single-Stage Photovoltaic System Connected to the Three-Phase Electrical Grid","authors":"A. Boukhriss","doi":"10.1109/COMPENG50184.2022.9905462","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905462","url":null,"abstract":"This work aims to study the active disturbance rejection control ADRC associated with incremental conductance IC (ADRC-IC), applied to the single-stage grid-connected PV system under atmospheric variation conditions, to control the maximum power point MPP. The control technique is compared with the conventional perturb and observe P&O control. ADRC is also used to control the inverter, connected to the grid through an RL filter, to keep the DC bus voltage constant concerning the reference provided by the MPP control unit and also to ensure a unit power factor at the power injected in the network.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128229934","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905452
Majda Lafhel, L. Abrouk, H. Cherifi, M. Hassouni
In this paper, we investigate the performance of the graph distance measure "Network Laplacian Spectra Descriptor" in comparing the similarity between movie stories. We rely on a multilayer network model to extract three entities of networks (Characters in Scenes, Dialogue Keywords, Scene Location). Then, we compute the distance between the layers regarding the three aspects. We investigate the effectiveness of the measure using the 3-cycle movies of the Scream Saga.
{"title":"The similarity between movie scripts using Multilayer Network Laplacian Spectra Descriptor","authors":"Majda Lafhel, L. Abrouk, H. Cherifi, M. Hassouni","doi":"10.1109/COMPENG50184.2022.9905452","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905452","url":null,"abstract":"In this paper, we investigate the performance of the graph distance measure \"Network Laplacian Spectra Descriptor\" in comparing the similarity between movie stories. We rely on a multilayer network model to extract three entities of networks (Characters in Scenes, Dialogue Keywords, Scene Location). Then, we compute the distance between the layers regarding the three aspects. We investigate the effectiveness of the measure using the 3-cycle movies of the Scream Saga.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131677954","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905472
G. Zini, G. Bartoli, M. Betti, F. Marafini
Structural Health Monitoring (SHM) methods based on Modal Tracking (MT) of dynamic parameters (main frequencies, mode shapes and modal damping), enable today the control of operative conditions of both structures and infrastructures. Considering the need of continuous monitoring systems to process large datasets, in the last decades many efforts have been done to set-up Automated Operational Modal Analysis (A-OMA) procedures. Among all automated procedures, this paper describes a new automated one used to extract and track modal properties directly from the recorded dynamic signals. Its application over three heritage structures is described with the goal to show the effectiveness of this operative automated workflow for MT of damage sensitive features in a data-driven Continuous Structural Heath Monitoring (CSHM) approach.
{"title":"A quality-based framework for data-driven SHM of heritage buildings","authors":"G. Zini, G. Bartoli, M. Betti, F. Marafini","doi":"10.1109/COMPENG50184.2022.9905472","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905472","url":null,"abstract":"Structural Health Monitoring (SHM) methods based on Modal Tracking (MT) of dynamic parameters (main frequencies, mode shapes and modal damping), enable today the control of operative conditions of both structures and infrastructures. Considering the need of continuous monitoring systems to process large datasets, in the last decades many efforts have been done to set-up Automated Operational Modal Analysis (A-OMA) procedures. Among all automated procedures, this paper describes a new automated one used to extract and track modal properties directly from the recorded dynamic signals. Its application over three heritage structures is described with the goal to show the effectiveness of this operative automated workflow for MT of damage sensitive features in a data-driven Continuous Structural Heath Monitoring (CSHM) approach.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130942605","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905444
K. Tamersit
In this paper, we show how the band-to-band tunneling (BTBT) regime of ultra-scaled carbon nanotube fieldeffect transistor (CNTFET) can be exploited to get ultra-high photosensitivity to low infrared (IR) optical power. The CNT-based phototransistor has been computationally assessed by solving self-consistently the Poisson solver including the photovoltage with the non-equilibrium Green’s function (NEGF) formalism in the ballistic limit. This quantum simulation approach is adopted to take into account the BTBT mechanisms on which the photosensing principle is based in the proposed nanodevice. The light-induced gate photovoltage is adopted as photosensing principle. It has been found that the BTBT CNTFET can exhibit subthermionic optical swing. In addition, high photosensitivity can be recorded in BTBT regime to low gate photovoltages induced by weak IR incident optical powers. The obtained results indicate that the proposed nanoscale CNT phototransistor operating in BTBT photosensing regime can serve the modern optoelectronics, which is in dire need for ultra-sensitive phototransistors with low detection limits.
{"title":"High Photosensitivity in Band-to-Band Tunneling Regime of Carbon Nanotube Field-Effect Phototransistor: Numerical Investigation","authors":"K. Tamersit","doi":"10.1109/COMPENG50184.2022.9905444","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905444","url":null,"abstract":"In this paper, we show how the band-to-band tunneling (BTBT) regime of ultra-scaled carbon nanotube fieldeffect transistor (CNTFET) can be exploited to get ultra-high photosensitivity to low infrared (IR) optical power. The CNT-based phototransistor has been computationally assessed by solving self-consistently the Poisson solver including the photovoltage with the non-equilibrium Green’s function (NEGF) formalism in the ballistic limit. This quantum simulation approach is adopted to take into account the BTBT mechanisms on which the photosensing principle is based in the proposed nanodevice. The light-induced gate photovoltage is adopted as photosensing principle. It has been found that the BTBT CNTFET can exhibit subthermionic optical swing. In addition, high photosensitivity can be recorded in BTBT regime to low gate photovoltages induced by weak IR incident optical powers. The obtained results indicate that the proposed nanoscale CNT phototransistor operating in BTBT photosensing regime can serve the modern optoelectronics, which is in dire need for ultra-sensitive phototransistors with low detection limits.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122102494","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905471
David Segura, E. J. Khatib, J. Munilla, R. Barco
In the 3GPP LTE Release 13, NB-IoT was standardized to provide wide-area connectivity for IoT. To optimize network signaling and power consumption, control plane (CP) optimization was introduced. In Release 15, to support infrequent small data transmissions, Early Data Transmission (EDT) was also included, in which the data are sent during the random access procedure. Thus, this paper analyses the latency performance of the different NB-IoT optimizations for the CP. The study, carried out in a real device, has been performed for different packet sizes and coverage levels. Evaluation results show lower latencies for EDT, particularly with small packets, where a reduced transport block is used, being more efficient from a network point of view. Additionally, we verify that EDT, unlike Release 13 optimization, fulfills 3GPP latency requirement for extreme coverage.
{"title":"NB-IoT latency evaluation with real measurements","authors":"David Segura, E. J. Khatib, J. Munilla, R. Barco","doi":"10.1109/COMPENG50184.2022.9905471","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905471","url":null,"abstract":"In the 3GPP LTE Release 13, NB-IoT was standardized to provide wide-area connectivity for IoT. To optimize network signaling and power consumption, control plane (CP) optimization was introduced. In Release 15, to support infrequent small data transmissions, Early Data Transmission (EDT) was also included, in which the data are sent during the random access procedure. Thus, this paper analyses the latency performance of the different NB-IoT optimizations for the CP. The study, carried out in a real device, has been performed for different packet sizes and coverage levels. Evaluation results show lower latencies for EDT, particularly with small packets, where a reduced transport block is used, being more efficient from a network point of view. Additionally, we verify that EDT, unlike Release 13 optimization, fulfills 3GPP latency requirement for extreme coverage.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131200776","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905442
Y. Giambastiani, S. Romanelli, R. Giusti, S. Cecchi, A. Antonini, L. Bottai, A. Ortolani, B. Gozzini
The life quality in our cities is also determined by the presence of urban greenery, in particular by the arboreal heritage, which provides multiple ecosystem services. On the other hand, trees by their nature are subject to external stresses, from decay and therefore collapse phenomena. In order to monitor the trees stability, numerous investigations are carried out concerning physiological and biomechanical aspects. Among these we find the controlled pulling test, an analysis that reproduces the wind action (in a static way) on the tree and studies the resistance to overturning, in particular with regard to root anchoring to the ground. The models applied within this analysis present an important gap: the behavior of the canopy of trees subject to the force of the wind. This undergoes a reconfiguration of the branching in order to reduce the drag force, with direct repercussions on the impact area, the canopy porosity and the frequency of oscillation. The study of reconfiguration is a complex analysis, in the literature there are few works in relation to the wide variability given by the age, the species, the position of the trees. This preliminary study aims to introduce a new survey technique based on the use of opportunity data. By exploiting the presence of many meteorological webcams and applying web scraping procedures, it is possible to acquire a lot of data all over the world regarding the behavior of the canopy during meteorological events, taking into account wind and precipitation. Meteorological data are combined with RGB processing of crown shooting. Framework proves the feasibility of a database developing able to collect the dynamic tree crown behavior. Database permits a high level deepening about on multiple variable affecting branching response to wind load, like rain, wind direction, prevalent wind, and temperature. The results obtained are preliminary, as some improvements are still needed from a processing point of view, such as the automatic procedure that determines the crown area. We believe that sharing this technique with the scientific community can create new development opportunities and thus allow a more effective stability analysis.
{"title":"Web scraping technology for a dynamics analysis of tree crown streamlining, in relationships with wind and meteorological data","authors":"Y. Giambastiani, S. Romanelli, R. Giusti, S. Cecchi, A. Antonini, L. Bottai, A. Ortolani, B. Gozzini","doi":"10.1109/COMPENG50184.2022.9905442","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905442","url":null,"abstract":"The life quality in our cities is also determined by the presence of urban greenery, in particular by the arboreal heritage, which provides multiple ecosystem services. On the other hand, trees by their nature are subject to external stresses, from decay and therefore collapse phenomena. In order to monitor the trees stability, numerous investigations are carried out concerning physiological and biomechanical aspects. Among these we find the controlled pulling test, an analysis that reproduces the wind action (in a static way) on the tree and studies the resistance to overturning, in particular with regard to root anchoring to the ground. The models applied within this analysis present an important gap: the behavior of the canopy of trees subject to the force of the wind. This undergoes a reconfiguration of the branching in order to reduce the drag force, with direct repercussions on the impact area, the canopy porosity and the frequency of oscillation. The study of reconfiguration is a complex analysis, in the literature there are few works in relation to the wide variability given by the age, the species, the position of the trees. This preliminary study aims to introduce a new survey technique based on the use of opportunity data. By exploiting the presence of many meteorological webcams and applying web scraping procedures, it is possible to acquire a lot of data all over the world regarding the behavior of the canopy during meteorological events, taking into account wind and precipitation. Meteorological data are combined with RGB processing of crown shooting. Framework proves the feasibility of a database developing able to collect the dynamic tree crown behavior. Database permits a high level deepening about on multiple variable affecting branching response to wind load, like rain, wind direction, prevalent wind, and temperature. The results obtained are preliminary, as some improvements are still needed from a processing point of view, such as the automatic procedure that determines the crown area. We believe that sharing this technique with the scientific community can create new development opportunities and thus allow a more effective stability analysis.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126412750","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905433
N. Pham, Z. Oplatková, H. M. Huynh, Bay Vo
High utility itemset (HUI) mining is a necessary research problem in the field of knowledge discovery and data mining. Many algorithms for Top-K HUI mining have been proposed. However, the principal issue with these algorithms is that they need to store potential top-k patterns in the memory anytime, and they request the minimum utility threshold to automatically rise when finding HUIs. Consequently, the performance of existing exact algorithms for Top-K HUIs mining tends to decrease when the database size and the number of distinct items in the databases rise. To address this issue, we suggest a Binary Particle Swarm Optimization (BPSO) based algorithm for mining Top-K HUIs effectively, namely TKO-BPSO (Top-K high utility itemset mining in One phase based on Binary Particle Swarm Optimization). The main idea of TKO-BPSO is not only to use a one-phase model and strategy Raising the threshold by the Utility of Candidates (RUC) to effectively increase the border thresholds for pruning the search space but also to adopt the sigmoid function in the updating process of the particles. This might significantly reduce the combinational problem in traditional HUIM when the database size and the number of distinct items in the databases rise. Consequently, its performance outperforms existing exact algorithms for mining Top-K HUIs because it efficiently overcomes the problem of the vast amount candidates. Substantial experiments conducted on publicly available several real and synthetic datasets show that the proposed algorithm has better results than existing state-of-the-art algorithms in terms of runtime, which can significantly reduce the combinational problem and memory usage.
高效用项集(High utility itemset, HUI)挖掘是知识发现和数据挖掘领域的一个必要研究问题。对于Top-K HUI的挖掘，已经提出了许多算法。然而，这些算法的主要问题是，它们需要随时在内存中存储潜在的top-k模式，并且它们要求在找到hui时自动提高最小效用阈值。因此，当数据库规模和数据库中不同条目的数量增加时，现有的Top-K hui挖掘精确算法的性能趋于下降。为了解决这一问题，我们提出了一种基于二进制粒子群优化(Binary Particle Swarm Optimization, BPSO)的Top-K高效用项集挖掘算法，即TKO-BPSO (Top-K high utility itemset mining in One phase based based Binary Particle Swarm Optimization)。TKO-BPSO的主要思想是利用候选效用(Utility of candidate, RUC)提高阈值的一阶段模型和策略来有效地提高边界阈值来修剪搜索空间，并在粒子的更新过程中采用sigmoid函数。当数据库大小和数据库中不同项目的数量增加时，这可能会显著减少传统HUIM中的组合问题。因此，它的性能优于现有的挖掘Top-K hui的精确算法，因为它有效地克服了大量候选者的问题。在公开的多个真实和合成数据集上进行的大量实验表明，该算法在运行时间方面优于现有的最先进算法，可以显着减少组合问题和内存使用。
{"title":"Mining Top-K High Utility Itemset Using Bio-Inspired Algorithms","authors":"N. Pham, Z. Oplatková, H. M. Huynh, Bay Vo","doi":"10.1109/COMPENG50184.2022.9905433","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905433","url":null,"abstract":"High utility itemset (HUI) mining is a necessary research problem in the field of knowledge discovery and data mining. Many algorithms for Top-K HUI mining have been proposed. However, the principal issue with these algorithms is that they need to store potential top-k patterns in the memory anytime, and they request the minimum utility threshold to automatically rise when finding HUIs. Consequently, the performance of existing exact algorithms for Top-K HUIs mining tends to decrease when the database size and the number of distinct items in the databases rise. To address this issue, we suggest a Binary Particle Swarm Optimization (BPSO) based algorithm for mining Top-K HUIs effectively, namely TKO-BPSO (Top-K high utility itemset mining in One phase based on Binary Particle Swarm Optimization). The main idea of TKO-BPSO is not only to use a one-phase model and strategy Raising the threshold by the Utility of Candidates (RUC) to effectively increase the border thresholds for pruning the search space but also to adopt the sigmoid function in the updating process of the particles. This might significantly reduce the combinational problem in traditional HUIM when the database size and the number of distinct items in the databases rise. Consequently, its performance outperforms existing exact algorithms for mining Top-K HUIs because it efficiently overcomes the problem of the vast amount candidates. Substantial experiments conducted on publicly available several real and synthetic datasets show that the proposed algorithm has better results than existing state-of-the-art algorithms in terms of runtime, which can significantly reduce the combinational problem and memory usage.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129033775","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}
Pub Date : 2022-07-18DOI: 10.1109/COMPENG50184.2022.9905441
M. Simone, Angelo Lorusso, D. Santaniello
Reinforced concrete buildings have proven the need to monitor the concrete and steel parts over time. The topic of structural monitoring of a building is becoming more topical with time, and many buildings from the 1960s and 1970s are under observation. The current challenge is to monitor structures effectively and continuously, applying the meaning of preventive maintenance, a concept well developed in engineering disciplines. New technologies allow us to assess the impact of time, wear, and tear, which in the long term can challenge the safety of buildings by monitoring the natural vibrations of a building. However, traditional monitoring systems in the civil infrastructure sector have always been expensive and undervalued. Therefore, borrowing innovations from computer science, a sensor system based on the new paradigms of the Internet of Things (IoT) was developed to provide a valuable alternative to proven vibration monitoring systems. The proposed system consists of a microprocessor (Raspberry Pi) and a low-cost accelerometer for microelectromechanical systems (MEMS), this type of lower costs sensor allows for investment in the safety of structures. The architecture of the monitoring system and the visualization of the vibrational model and its operation mechanism are presented. The performance of the monitoring system and the data collected are then integrated with Deep Learning techniques to obtain possible future scenarios and forecasts practically to perform tests that are as close as possible to reality and thus be able to act with the necessary maintenance to prevent undesired structural effects.
{"title":"Predictive maintenance and Structural Health Monitoring via IoT system","authors":"M. Simone, Angelo Lorusso, D. Santaniello","doi":"10.1109/COMPENG50184.2022.9905441","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905441","url":null,"abstract":"Reinforced concrete buildings have proven the need to monitor the concrete and steel parts over time. The topic of structural monitoring of a building is becoming more topical with time, and many buildings from the 1960s and 1970s are under observation. The current challenge is to monitor structures effectively and continuously, applying the meaning of preventive maintenance, a concept well developed in engineering disciplines. New technologies allow us to assess the impact of time, wear, and tear, which in the long term can challenge the safety of buildings by monitoring the natural vibrations of a building. However, traditional monitoring systems in the civil infrastructure sector have always been expensive and undervalued. Therefore, borrowing innovations from computer science, a sensor system based on the new paradigms of the Internet of Things (IoT) was developed to provide a valuable alternative to proven vibration monitoring systems. The proposed system consists of a microprocessor (Raspberry Pi) and a low-cost accelerometer for microelectromechanical systems (MEMS), this type of lower costs sensor allows for investment in the safety of structures. The architecture of the monitoring system and the visualization of the vibrational model and its operation mechanism are presented. The performance of the monitoring system and the data collected are then integrated with Deep Learning techniques to obtain possible future scenarios and forecasts practically to perform tests that are as close as possible to reality and thus be able to act with the necessary maintenance to prevent undesired structural effects.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129239415","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}
Pub Date : 2022-03-11DOI: 10.1109/COMPENG50184.2022.9905434
Saeed Mohammadi, M. Hesamzadeh
The intraday (ID) electricity market has received an increasing attention in the recent EU electricity-market discussions. This is partly because the uncertainty in the underlying power system is growing and the ID market provides an adjustment platform to deal with such uncertainties. Hence, market participants need a proper ID market price model to optimally adjust their positions by trading in the market. Inadequate historical data for ID market price makes it more challenging to model. This paper proposes long short-term memory, deep convolutional generative adversarial networks, and No-U-Turn sampler algorithms to model ID market prices. Our proposed econometric ID market price models are applied to the Nordic ID price data and their promising performance are illustrated.
{"title":"Econometric Modeling of Intraday Electricity Market Price with Inadequate Historical Data","authors":"Saeed Mohammadi, M. Hesamzadeh","doi":"10.1109/COMPENG50184.2022.9905434","DOIUrl":"https://doi.org/10.1109/COMPENG50184.2022.9905434","url":null,"abstract":"The intraday (ID) electricity market has received an increasing attention in the recent EU electricity-market discussions. This is partly because the uncertainty in the underlying power system is growing and the ID market provides an adjustment platform to deal with such uncertainties. Hence, market participants need a proper ID market price model to optimally adjust their positions by trading in the market. Inadequate historical data for ID market price makes it more challenging to model. This paper proposes long short-term memory, deep convolutional generative adversarial networks, and No-U-Turn sampler algorithms to model ID market prices. Our proposed econometric ID market price models are applied to the Nordic ID price data and their promising performance are illustrated.","PeriodicalId":211056,"journal":{"name":"2022 IEEE Workshop on Complexity in Engineering (COMPENG)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127831215","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}
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