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The art of solving problems with Monte Carlo simulations


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the most promising programming language today due to its speed and simplicity, and I recommend you to at least get acquainted with it.
Quick Introduction
Generally speaking, Monte Carlo methods (or simulations) consist of a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. This technique is used throughout areas such as physics, finance, engineering, project management, insurance, and transportation, where a numerical result is needed and the underlying theory is difficult and/or unavailable.
It was invented by John von Neumann, Stanisław Ulam, and Nicholas Metropolis, who were employed on a secret assignment in the Los Alamos National Laboratory, while working on a nuclear weapon project called the Manhattan Project. It was named after a well-known casino town called Monaco, since chance and randomness are core to the modeling approach, similar to a game of roule ....

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"Identification of environmental and contextual driving factors of air " by Bongchan Jeong, Jungsoo Kim et al.


Abstract
Air conditioning (A/C) is generally responsible for a significant proportion of total building energy consumption. However, occupants’ air conditioning usage patterns are often unrealisti-cally characterised in building energy performance simulation tools, which leads to a gap between simulated and actual energy use. The objective of this study was to develop a stochastic model for predicting occupant behaviour relating to A/C cooling and heating in residential buildings located in the Subtropical Sydney region of Australia. Multivariate logistic regression was used to estimate the probability of using A/C in living rooms and bedrooms, based on a range of physical environmental (outdoor and indoor) and contextual (season, day of week, and time of day) factors observed in 42 Sydney region houses across a two‐year monitoring period. The resulting models can be implemented in building energy performance simulation (BEPS) tools to more accurately predict indoor enviro ....

New South Wales , Subtropical Sydney , Air Conditioning , Uilding Energy Performance Simulation , Occupant Behaviour , Stochastic Modelling , புதியது தெற்கு வேல்ஸ் , அேக கண்டிஷனிங் ,