Role of Boundary Conditions in Monte Carlo Simulation of Microelectromechanical Systems

1998 ◽  
Vol 12 (3) ◽  
pp. 447-449 ◽  
Author(s):  
Robert P. Nance ◽  
David B. Hash ◽  
H. A. Hassan
1997 ◽  
Author(s):  
Robert Nance ◽  
H. Hassan ◽  
David Hash ◽  
Robert Nance ◽  
H. Hassan ◽  
...  

Author(s):  
محمد الأمين ◽  
بن حامد عبد الغني ◽  
مراس محمد

Our research aims to try to present the modeling mechanisms in the field of simulation and quantitative methods. The research is a presentation of the role of quantitative methods in making investment project evaluation decisions, more than that and is the use of the Monte Carlo simulation model in evaluation and multi-period analysis of investment projects under conditions Risk and uncertainty. And highlighting the theoretical, scientific and practical importance of the Monte Carlo simulation method in particular, and the importance of using quantitative methods in helping to make decisions in general


Author(s):  
Gianpietro Granelli ◽  
Mario Montagna ◽  
Paolo Marannino ◽  
Fabio Zanellini

Unit commitment (UC), originally employed to minimize the generating cost of a vertically integrated utility, has become a basic tool for revenue adequacy evaluation by GENeration COmpanies (GENCOs). The strategic role of UC is apparent in those market environments where GENCOs are asked to internalize all costs and the relevant UC decisions within their day–ahead market bids. In this paper, a parametric UC method is presented to assess the convenience of making energy bids for marginal or nearly marginal generation units. The convenience is gauged by the basis of revenue adequacy that is on each unit's ability to cover all expenses and generate profits. Beside UC choices, the parametric UC procedure provides a market price behavior that would make it profitable to commit a certain unit for generation. A Monte Carlo simulation program is employed to find the probability that actual market prices will fulfill the revenue adequacy requirements. Market prices are handled as random variables with multivariate normal distribution, taking into account the correlation between prices at successive time periods. The parametric UC procedure and the Monte Carlo simulation are carried out by using reasonable data of generation units available to some Italian GENCOs.


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