{"title":"Identification of State Space Models","authors":"","doi":"10.1002/9781119546405.ch7","DOIUrl":"https://doi.org/10.1002/9781119546405.ch7","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126638511","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}
{"title":"Estimation of Process Characteristics","authors":"","doi":"10.1002/9781119546405.ch2","DOIUrl":"https://doi.org/10.1002/9781119546405.ch2","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126652679","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}
{"title":"Predictive Control","authors":"S. Bifaretti, L. Tarisciotti, P. Zanchetta","doi":"10.1002/9781119546405.ch8","DOIUrl":"https://doi.org/10.1002/9781119546405.ch8","url":null,"abstract":"The modern power network i huge challenges due to the contemporar electricity distribution such as the capability coming from different grids as well as from R Sources (RES) and other Distributed Generat Advanced power electronic converters can pro control power flow and ensure proper and This paper presents design and implementati control system for a back-to-back three-p multi-level converter employed in Universal an Management (UNIFLEX-PM) of electrical gri strategy has been successfully tested for bid flow operation with different grid operating c voltage unbalance, frequency variation and har","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126819654","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}
{"title":"Index","authors":"","doi":"10.1002/9781119546405.index","DOIUrl":"https://doi.org/10.1002/9781119546405.index","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123365689","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}
{"title":"Prediction","authors":"David Bamman, R. Wright","doi":"10.1002/9781119546405.ch3","DOIUrl":"https://doi.org/10.1002/9781119546405.ch3","url":null,"abstract":"—Predicting the stocks price is both intriguing and dif- ficult due to the nonlinear and noisy stock’s data. Stock investors’ investment risk can reduce and their return on investment can be significantly increased by properly predicting the change in stock prices. It is challenging for researchers to forecast stock prices using an individual stock forecasting model. Therefore, in this research we proposes MGRU-M1dCNN, a hybrid model to predict the stock opening price of the next day. This model is consisted of multiple gated recurrent unit (MGRU) and Multiple single dimensional convolutional neural networks (M1dCNN). MGRU employs to extract the valuable feature patterns from opening price of stocks. M1dCNN is used to extract the spatial features of the inputs received from MGRU to predict the stock prices. The outcomes demonstrate that this technique performs best, with the least Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) which are 0.854 and 0.456. When compared to other GRU based models (GRU-CNN, GRU-DNN, and GRU), the MGRU-M1dCNN model is better suited for stock price forecasting and for providing investors a trustworthy means to choose which stocks to buy.","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134186432","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}
{"title":"Parameter Identification in a Given Model","authors":"","doi":"10.1002/9781119546405.ch10","DOIUrl":"https://doi.org/10.1002/9781119546405.ch10","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"696 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132746358","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}
{"title":"Kalman Filtering and Prediction","authors":"","doi":"10.1002/9781119546405.ch9","DOIUrl":"https://doi.org/10.1002/9781119546405.ch9","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116041181","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}
{"title":"Stationary Processes and Time Series","authors":"","doi":"10.1002/9781119546405.ch1","DOIUrl":"https://doi.org/10.1002/9781119546405.ch1","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123916754","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}
{"title":"Linear Dynamical Systems","authors":"J. Schwartz","doi":"10.1007/0-387-22642-7_1","DOIUrl":"https://doi.org/10.1007/0-387-22642-7_1","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124259231","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}
{"title":"Model Complexity Selection","authors":"","doi":"10.1002/9781119546405.ch6","DOIUrl":"https://doi.org/10.1002/9781119546405.ch6","url":null,"abstract":"","PeriodicalId":172038,"journal":{"name":"Model Identification and Data Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128819572","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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