Esta presentación sintetiza los fundamentos de los lenguajes de programación. Espero los sea de mucha utilidad para comprender la importancia de estos programación.
This document discusses modeling uncertainty in wind farm performance caused by the unpredictable nature of wind resources. It introduces uncertainty models to characterize variability in wind speed, direction and air density over time. These uncertainty models are used to predict the range of possible annual wind power density, energy production and cost of energy for a wind farm, given uncertainties in estimating long-term wind distributions from short-term recorded data. The models aim to provide more reliable wind resource assessments and economic evaluations of wind farm projects.
Esta presentación sintetiza los fundamentos de los lenguajes de programación. Espero los sea de mucha utilidad para comprender la importancia de estos programación.
This document discusses modeling uncertainty in wind farm performance caused by the unpredictable nature of wind resources. It introduces uncertainty models to characterize variability in wind speed, direction and air density over time. These uncertainty models are used to predict the range of possible annual wind power density, energy production and cost of energy for a wind farm, given uncertainties in estimating long-term wind distributions from short-term recorded data. The models aim to provide more reliable wind resource assessments and economic evaluations of wind farm projects.
This document is a curriculum vitae for Ashok Holmukhe summarizing his professional experience and qualifications. He has over 16 years of experience in supply chain management and logistics, currently working as a warehouse manager. He holds a Master's degree in Arts and Bachelor's degree in Arts. His roles have included managing warehouse operations, inventory, logistics scheduling, and liaising with vendors.
The document provides several potential holiday activity recommendations for 2009, including swimming at a new beach resort in Japan, visiting the Grand Canyon Skywalk, going to a theme park in Las Vegas, seeing a tennis match in Dubai, mountain trekking, or biking. It wishes the reader a wonderful holiday season and notes that the presentation was shared among friends to spread holiday cheer, with some images attributed to Victor Lucas in 2006.
This document summarizes research exploring uncertainties in wind project planning due to variable wind resources. The researchers developed multivariate, multimodal models to characterize joint distributions of wind speed, direction and density. They quantified uncertainties in yearly wind distributions and proposed two models to represent these uncertainties - a parametric model considering uncertainties in distribution parameters, and a non-parametric model treating predicted wind probabilities as stochastic. The goal is to model how wind distribution uncertainties propagate into uncertainties in predicted annual energy production and cost of energy for wind projects.
This work was presented at 51st AIAA/SDM conference, Apr 14, 2010 in Orlando. The work presented in this paper was performed in collaboration with Prof. Achille Messac and Dr. Ritesh Khire.
Master of Science Thesis Defense - Souma (FIU)Souma Chowdhury
The document summarizes Souma Chowdhury's Master's thesis defense on developing a modified predator-prey algorithm to solve single- and multi-objective optimization problems. The predator-prey algorithm imitates interactions between predators and prey in nature. Chowdhury substantially modified the basic algorithm to make it robust and computationally inexpensive for handling optimization problems involving multiple objectives and design variables. The modified predator-prey algorithm was developed to produce well-distributed Pareto optimal solutions with fewer function evaluations compared to other evolutionary algorithms.
This document is a curriculum vitae for Ashok Holmukhe summarizing his professional experience and qualifications. He has over 16 years of experience in supply chain management and logistics, currently working as a warehouse manager. He holds a Master's degree in Arts and Bachelor's degree in Arts. His roles have included managing warehouse operations, inventory, logistics scheduling, and liaising with vendors.
The document provides several potential holiday activity recommendations for 2009, including swimming at a new beach resort in Japan, visiting the Grand Canyon Skywalk, going to a theme park in Las Vegas, seeing a tennis match in Dubai, mountain trekking, or biking. It wishes the reader a wonderful holiday season and notes that the presentation was shared among friends to spread holiday cheer, with some images attributed to Victor Lucas in 2006.
This document summarizes research exploring uncertainties in wind project planning due to variable wind resources. The researchers developed multivariate, multimodal models to characterize joint distributions of wind speed, direction and density. They quantified uncertainties in yearly wind distributions and proposed two models to represent these uncertainties - a parametric model considering uncertainties in distribution parameters, and a non-parametric model treating predicted wind probabilities as stochastic. The goal is to model how wind distribution uncertainties propagate into uncertainties in predicted annual energy production and cost of energy for wind projects.
This work was presented at 51st AIAA/SDM conference, Apr 14, 2010 in Orlando. The work presented in this paper was performed in collaboration with Prof. Achille Messac and Dr. Ritesh Khire.
Master of Science Thesis Defense - Souma (FIU)Souma Chowdhury
The document summarizes Souma Chowdhury's Master's thesis defense on developing a modified predator-prey algorithm to solve single- and multi-objective optimization problems. The predator-prey algorithm imitates interactions between predators and prey in nature. Chowdhury substantially modified the basic algorithm to make it robust and computationally inexpensive for handling optimization problems involving multiple objectives and design variables. The modified predator-prey algorithm was developed to produce well-distributed Pareto optimal solutions with fewer function evaluations compared to other evolutionary algorithms.