scholarly journals A Model Based on Sentiments Analysis for Stock Exchange Prediction - Case Study of PETR4, PETROBRAS, Brazil

2016 ◽  
Author(s):  
Milson L. Lima ◽  
Sofiane Labidi ◽  
Thiago P. do Nascimento ◽  
Nadson S. Timbo ◽  
Gilberto N. Neto ◽  
...  
Keyword(s):  
Stock Exchange ◽  
Model Based

scholarly journals Analysis of Bunkruptcy Prediction With Altman Z-Score, Springate and Zmijewski Models Based Engineering Science (Case study at Garuda Indonesia Airline, Period Years of 2014-2017)

2021 ◽  
Vol 12 (4) ◽  
pp. 1530-1537
Author(s):  
Dailibas, Et. al.
Keyword(s):  
Prediction Model ◽  
Financial Reporting ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Engineering Science ◽  
Z Score ◽  
Microsoft Excel ◽  
Technical Data ◽  
Model Based

The purpose of this reseach is to analysis and to make a bunkruptcy prediction of the Garuda Indonesia listed on Indonesian Stock Exchange,and to find out  what the best model used in  a bunkruptcy prediction of company. Reseach method  based on purposive sampling.The population of this reseach is a numbers of company financial reporting listed on Indonesian Stock Exchange, and the sample obtained from period years of 2014 to 2017. The analysis of technical data used is descriptive analysis with a helping microsoft excel software . The reseach finding,  that based on Altman Z-Score, and  Springate prediction model based engineering science, Company have experienced a potency of bunkruptcy since  2014 till 2017. Meanwhile   Zmijewski prediction model based engineering science company has experienced a potency of bunkruptcy  in 2014 and 2017. whrereas  in  2015 and 2016, company is classificated as a healthy company. Based on result of the third models analysis mentioned,  Zmijewski model  is a better  in bunkruptcy prediction of  company.  

scholarly journals A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Failure Detection ◽  
Energy Yield ◽  
Combined Approach ◽  
Levelized Cost Of Electricity ◽  
Term Operation ◽  
Model Based

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

Model based analysis of the EU power system based on RES — A case study for Greece and Germany

2015 ◽  
Author(s):  
Pantelis Capros ◽  
Marilena Zampara ◽  
Nikos Tasios ◽  
Dimitris Papadopoulos ◽  
Christoph Kost ◽  
...  
Keyword(s):  
Power System ◽  
Model Based ◽  
The Eu ◽  
Model Based Analysis
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