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An optimized model of electricity price forecasting in the electricity market based on fuzzy timeseries 基于模糊时间序列的电力市场电价预测优化模型
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-10-31 DOI: 10.1080/21642583.2014.970733
B. Safarinejadian, Masihollah Gharibzadeh, M. Rakhshan
{"title":"An optimized model of electricity price forecasting in the electricity market based on fuzzy timeseries","authors":"B. Safarinejadian, Masihollah Gharibzadeh, M. Rakhshan","doi":"10.1080/21642583.2014.970733","DOIUrl":"https://doi.org/10.1080/21642583.2014.970733","url":null,"abstract":"Electricity price forecasting in the electricity market is one of the important purposes for improving the performance of market players and increasing their profits in a competitive electricity market. Since the system load is one of the important factors affecting electricity price changes, a two-factorial model based on fuzzy time series is presented in this paper for electricity price forecasting using the electricity prices of the previous days and the system load. In the proposed method, price and system load time series are fuzzified by fuzzy sets created based on the fuzzy C-means clustering algorithm. After determining proposed model coefficients by the Teaching–Learning-Based Optimization algorithm, this model is used for forecasting the next day electricity price. The promising performance of the proposed model is examined using Australia and Singapore electricity markets data.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"12 1","pages":"677 - 683"},"PeriodicalIF":0.0,"publicationDate":"2014-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73842209","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: 10
Text stream mining for Massive Open Online Courses: review and perspectives 大规模在线开放课程的文本流挖掘:综述和观点
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-10-31 DOI: 10.1080/21642583.2014.970732
S. Shatnawi, M. Gaber, Ella Haig
{"title":"Text stream mining for Massive Open Online Courses: review and perspectives","authors":"S. Shatnawi, M. Gaber, Ella Haig","doi":"10.1080/21642583.2014.970732","DOIUrl":"https://doi.org/10.1080/21642583.2014.970732","url":null,"abstract":"Massive Open Online Course (MOOC) systems have recently received significant recognition and are increasingly attracting the attention of education providers and educational researchers. MOOCs are neither precisely defined nor sufficiently researched in terms of their properties and usage. The large number of students enrolled in these courses can lead to insufficient feedback given to the students. A stream of student posts to courses’ forums makes the problem even more difficult. Students’–MOOCs’ interactions can be exploited using text mining techniques to enhance learning and personalise the learners’ experience. In this paper, the open issues in MOOCs are outlined. Text mining and streaming text mining techniques which can contribute to the success of these systems are reviewed and some open issues in MOOC systems are addressed. Finally, our vision of an intelligent personalised MOOC feedback management system that we term iMOOC is outlined.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"3 1","pages":"664 - 676"},"PeriodicalIF":0.0,"publicationDate":"2014-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87362810","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: 16
Artificial neural network-based induction motor fault classifier using continuous wavelet transform 基于连续小波变换的人工神经网络感应电机故障分类器
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-10-09 DOI: 10.1080/21642583.2014.956266
A. U. Jawadekar, Sudhir Paraskar, S. Jadhav, G. Dhole
{"title":"Artificial neural network-based induction motor fault classifier using continuous wavelet transform","authors":"A. U. Jawadekar, Sudhir Paraskar, S. Jadhav, G. Dhole","doi":"10.1080/21642583.2014.956266","DOIUrl":"https://doi.org/10.1080/21642583.2014.956266","url":null,"abstract":"Induction motors are used in industrial, commercial and residential applications because they have considerable merits over other types of electric motors. These motors are used in various operating stresses that give rise to faults. Most recurrent faults in induction motors are bearing faults, stator interturn faults and cracked rotor bars. Early detection of induction motor faults is crucial for their reliable and economical operation. This could be done by motor monitoring, incipient fault detection and diagnosis. In many situations, failure of critically loaded machine can shut down an entire industry process. This growing demand for high-quality and low-cost production has increased the need for automated manufacturing systems with effective monitoring and control capabilities. Condition monitoring and fault diagnosis of an induction motor are of great importance in the production line. It can reduce the cost of maintenance and risk of unexpected failures by allowing the early detection of catastrophic failures. This work documents experimental results for multiple fault detection in induction motors using signal-processing and artificial neural network-based approaches. Motor line currents recorded under various fault conditions were analyzed using continuous wavelet transform. A feedforward neural network was used for fault characterization based on fault features extracted using continuous wavelet transform.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"80 1","pages":"684 - 690"},"PeriodicalIF":0.0,"publicationDate":"2014-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84117552","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: 43
Random forests: from early developments to recent advancements 随机森林:从早期发展到最近的进展
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-09-30 DOI: 10.1080/21642583.2014.956265
Khaled Fawagreh, M. Gaber, Eyad Elyan
{"title":"Random forests: from early developments to recent advancements","authors":"Khaled Fawagreh, M. Gaber, Eyad Elyan","doi":"10.1080/21642583.2014.956265","DOIUrl":"https://doi.org/10.1080/21642583.2014.956265","url":null,"abstract":"Ensemble classification is a data mining approach that utilizes a number of classifiers that work together in order to identify the class label for unlabeled instances. Random forest (RF) is an ensemble classification approach that has proved its high accuracy and superiority. With one common goal in mind, RF has recently received considerable attention from the research community to further boost its performance. In this paper, we look at developments of RF from birth to present. The main aim is to describe the research done to date and also identify potential and future developments to RF. Our approach in this review paper is to take a historical view on the development of this notably successful classification technique. We start with developments that were found before Breiman's introduction of the technique in 2001, by which RF has borrowed some of its components. We then delve into dealing with the main technique proposed by Breiman. A number of developments to enhance the original technique are then presented and summarized. Successful applications that utilized RF are discussed, before a discussion of possible directions of research is finally given.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"12 1","pages":"602 - 609"},"PeriodicalIF":0.0,"publicationDate":"2014-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74788861","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: 356
Fuzzy adaptive proportional-integral-derivative controller with dynamic set-point adjustment for maximum power point tracking in solar photovoltaic system 太阳能光伏系统最大功率点跟踪模糊自适应动态设定点调整比例-积分-导数控制器
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-09-18 DOI: 10.1080/21642583.2014.956267
D. Karanjkar, S. Chatterji, Amod Kumar, S. Shimi
{"title":"Fuzzy adaptive proportional-integral-derivative controller with dynamic set-point adjustment for maximum power point tracking in solar photovoltaic system","authors":"D. Karanjkar, S. Chatterji, Amod Kumar, S. Shimi","doi":"10.1080/21642583.2014.956267","DOIUrl":"https://doi.org/10.1080/21642583.2014.956267","url":null,"abstract":"A novel fuzzy adaptive proportional-integral-derivative (PID) control strategy with online set-point tracking is presented for maximum power point tracking (MPPT) in solar photovoltaic (PV) system in this paper. The range of the membership functions of the fuzzy logic for online PID parameter tuner has been optimized using the relay feedback tuning method. The proposed MPPT controller has been designed with online set-point adjustment approach using current, radiation and temperature sensors. Real-time simulations have been carried out on MATLAB™/dSPACE™ ds1104 Research and Development control board platform for solar PV system with synchronous buck converter and resistive load. Performance of the proposed techniques has been compared with main existing MPPT techniques viz. perturb and observe, incremental conductance, fuzzy logic, neural network and adaptive neuro-fuzzy inference system-based methods of MPPT. Performance of various techniques has been compared based on tracking efficiency, steady state and dynamic behaviour. Experimental results showed the superiority of the proposed method for tracking maximum power point under rapidly varying solar radiations.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"46 1","pages":"562 - 582"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74438299","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: 22
Design and implementation of an open circuit voltage prediction mechanism for lithium-ion battery systems 锂离子电池系统开路电压预测机制的设计与实现
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-09-15 DOI: 10.1080/21642583.2014.956268
T. Stockley, K. Thanapalan, M. Bowkett, J. Williams
{"title":"Design and implementation of an open circuit voltage prediction mechanism for lithium-ion battery systems","authors":"T. Stockley, K. Thanapalan, M. Bowkett, J. Williams","doi":"10.1080/21642583.2014.956268","DOIUrl":"https://doi.org/10.1080/21642583.2014.956268","url":null,"abstract":"This paper describes an open circuit voltage (OCV) prediction technique for lithium cells. The work contains an investigation to examine the charge and mixed state relaxation voltage curves, to analyse the potential for the OCV prediction technique in a practical system. The underlying principal of the technique described in this paper employs a simple equation paired with a polynomial to predict the equilibrated cell voltage after a small rest period. The polynomial coefficients are devised by the use of curve fitting and system identification techniques. The practical work detailed in this paper was conducted at the Centre for Automotive and Power System Engineering (CAPSE) battery laboratories at the University of South Wales. The results indicate that the proposed OCV prediction technique is highly effective and may be implemented with a simple battery management system.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"27 1","pages":"707 - 717"},"PeriodicalIF":0.0,"publicationDate":"2014-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83622642","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: 3
Variable sampling-time nonlinear model predictive control of satellites using magneto-torquers 基于磁力矩器的卫星变采样时间非线性模型预测控制
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-08-26 DOI: 10.1080/21642583.2014.956841
Yi Cao, Wen‐Hua Chen
{"title":"Variable sampling-time nonlinear model predictive control of satellites using magneto-torquers","authors":"Yi Cao, Wen‐Hua Chen","doi":"10.1080/21642583.2014.956841","DOIUrl":"https://doi.org/10.1080/21642583.2014.956841","url":null,"abstract":"Satellite control using magneto-torquers represents a control challenge combined with strong nonlinearity, variable dynamics and partial controllability. An automatic differentiation-based nonlinear model predictive control (NMPC) algorithm is developed in this work to tackle these issues. Based on the previously developed formulation of NMPC, a novel variable sampling-time scheme is proposed to provide a better trade-off between transient control performance and closed-loop stability. More specifically, a small sampling time is adopted to improve the response speed when the satellite is far away from the desired position, and a large sampling time is employed for the closed-loop stability when the satellite is around its equilibrium position. This scheme also significantly reduces the online computational burden associated with fixed sampling-time NMPC where a large prediction horizon has to be adopted in order to the ensure closed-loop stability. The proposed approach is demonstrated through nonlinear simulation of a specific satellite case with satisfactory results obtained.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"57 1","pages":"593 - 601"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91201242","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: 9
Fault detection in non-linear systems based on GP-EKF and GP-UKF algorithms 基于GP-EKF和GP-UKF算法的非线性系统故障检测
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-08-26 DOI: 10.1080/21642583.2014.956843
B. Safarinejadian, Elham Kowsari
{"title":"Fault detection in non-linear systems based on GP-EKF and GP-UKF algorithms","authors":"B. Safarinejadian, Elham Kowsari","doi":"10.1080/21642583.2014.956843","DOIUrl":"https://doi.org/10.1080/21642583.2014.956843","url":null,"abstract":"In this paper, two new fault detection methods are proposed for non-linear systems. The proposed methods are based on combining an extended Kalman filter (EKF) and an unscented Kalman filter (UKF) with Gaussian processes (GPs). One of the major advantages of these algorithms is that they do not need the system's model while they have an accurate and fast operation in fault detection. In order to show the promising performance of the proposed algorithms, they are applied to an aeroplane tracking system with a highly non-linear dynamics. Superiority of the GP-UKF over GP-EKF in fault detection is also shown based on the simulation results.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"1 1","pages":"610 - 620"},"PeriodicalIF":0.0,"publicationDate":"2014-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85362009","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: 29
Modelling of surge phenomena in a centrifugal compressor: experimental analysis for control 离心式压缩机喘振现象的建模:控制的实验分析
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-08-22 DOI: 10.1080/21642583.2014.956269
A. Hafaifa, Belhadef Rachid, Guemana Mouloud
{"title":"Modelling of surge phenomena in a centrifugal compressor: experimental analysis for control","authors":"A. Hafaifa, Belhadef Rachid, Guemana Mouloud","doi":"10.1080/21642583.2014.956269","DOIUrl":"https://doi.org/10.1080/21642583.2014.956269","url":null,"abstract":"Actually, gas transportation in hydrocarbon industries in several countries is based mainly on the use of centrifugal compressors to ensure precise spots under specified conditions. However, these machines are subjected to very serious phenomenon, such as the surge phenomenon, which presents the state of unstable operation that results in pulsations than can be the main cause of certain dangerous mechanical problem. Therefore, to solve this problem, it is necessary to establish a control law which can manage these devices, where the main goal is to obtain the best performance. On the other hand, it is obvious that to achieve this task, the models of this surge phenomenon have to be well determined earlier. This work proposes tests to validate models of the surge phenomenon in a centrifugal compressor set for anti-surge control when the operating mode is in the unstable regime. Real-time tests on the examined gas compression system were used to generate the experimental results. The developed surge model could better control the considered system.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"1 1","pages":"632 - 641"},"PeriodicalIF":0.0,"publicationDate":"2014-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76368592","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: 18
Convergence of Internet of things and mobile cloud computing 物联网与移动云计算的融合
Systems Science & Control Engineering: An Open Access Journal Pub Date : 2014-05-30 DOI: 10.1080/21642583.2014.913213
K. Psannis, S. Xinogalos, Angelo Sifaleras
{"title":"Convergence of Internet of things and mobile cloud computing","authors":"K. Psannis, S. Xinogalos, Angelo Sifaleras","doi":"10.1080/21642583.2014.913213","DOIUrl":"https://doi.org/10.1080/21642583.2014.913213","url":null,"abstract":"As an integral element of future Internet, Internet of things (IoT) could be described as a real-world interaction with everything connected via intelligent network infrastructure and advanced communication technologies. Mobile cloud computing (MCC), on the other hand, offers an infrastructure wherein both data storage and data processing take place outside of the mobile device. As a more mature infrastructure, MCC offers several advantages, while the relatively new IoT has several limitations. In this paper, we present a survey of IoT limitations and MCC advantages. Specifically, we present the most advantageous aspects of MCC and how they alleviate the limitations of IoT. Furthermore, we discuss several IoT-enabled business services to highlight the benefits of converging IoT and MCC.","PeriodicalId":22127,"journal":{"name":"Systems Science & Control Engineering: An Open Access Journal","volume":"50 2 1","pages":"476 - 483"},"PeriodicalIF":0.0,"publicationDate":"2014-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89627823","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: 33
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