scholarly journals Li-ion batteries for peak shaving, price arbitrage, and photovoltaic self-consumption in commercial buildings: A Monte Carlo Analysis

2021 ◽  
Vol 234 ◽  
pp. 113889
Author(s):  
Pietro Elia Campana ◽  
Luca Cioccolanti ◽  
Baptiste François ◽  
Jakub Jurasz ◽  
Yang Zhang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Commercial Buildings ◽  
Li Ion Batteries ◽  
Peak Shaving ◽  
Li Ion

scholarly journals Li-ion batteries for peak shaving, price arbitrage, and photovoltaic self-consumption in commercial buildings: a Monte Carlo Analysis

2020 ◽  
Author(s):  
PietroElia Campana ◽  
Pietro Campana ◽  
Luca Cioccolanti ◽  
Baptiste François ◽  
Jakub Jurasz ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Commercial Buildings ◽  
Li Ion Batteries ◽  
Peak Shaving ◽  
Li Ion

scholarly journals Kinetic Monte Carlo simulations applied to Li-ion and post Li-ion batteries: a key link in the multi-scale chain

2021 ◽  
Author(s):  
Edgardo Maximiliano Gavilán-Arriazu ◽  
Michael Mercer ◽  
Daniel E Barraco ◽  
Harry Hoster ◽  
Ezequiel Leiva
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Kinetic Monte Carlo ◽  
Li Ion Batteries ◽  
Multi Scale ◽  
Kinetic Monte Carlo Simulations ◽  
Li Ion

Generation of Correlated Logistic-Normal Random Variates for Medical Decision Trees

1998 ◽  
Vol 37 (03) ◽  
pp. 235-238 ◽  
Author(s):  
M. El-Taha ◽  
D. E. Clark
Keyword(s):  
Monte Carlo ◽  
Decision Trees ◽  
Computer Algebra ◽  
Taylor Series ◽  
Computer Algebra System ◽  
Random Variable ◽  
Monte Carlo Analysis ◽  
Normal Random Variable ◽  
Medical Decision ◽  
Theoretical Results

AbstractA Logistic-Normal random variable (Y) is obtained from a Normal random variable (X) by the relation Y = (ex)/(1 + ex). In Monte-Carlo analysis of decision trees, Logistic-Normal random variates may be used to model the branching probabilities. In some cases, the probabilities to be modeled may not be independent, and a method for generating correlated Logistic-Normal random variates would be useful. A technique for generating correlated Normal random variates has been previously described. Using Taylor Series approximations and the algebraic definitions of variance and covariance, we describe methods for estimating the means, variances, and covariances of Normal random variates which, after translation using the above formula, will result in Logistic-Normal random variates having approximately the desired means, variances, and covariances. Multiple simulations of the method using the Mathematica computer algebra system show satisfactory agreement with the theoretical results.

FLIGHT MECHANICS AND MONTE CARLO ANALYSIS FOR A STUDENT SOUNDING ROCKET

2016 ◽  
Author(s):  
Eduardo Jourdan ◽  
Matheus Ferraz ◽  
Dalton Menezes
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Flight Mechanics ◽  
Sounding Rocket

Electrochemical and Safety Performances of Polyimide Nano fiber-based Nonwoven Separators for Li-ion Batteries

2015 ◽  
Vol 6 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Yeon-Joo Kim ◽  
Sang-Min Lee ◽  
Seok Hong Kim ◽  
Hyun-Soo Kim
Keyword(s):  
Li Ion Batteries ◽  
Nano Fiber ◽  
Li Ion
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