CONTROL AND MODELING OF WIND TURBINES USING GENETIC ALGORITHMS AND SUPPORT VECTOR MACHINES FOR REGRESSION

12.4.2 Model Selection
To obtain a high level of performance, some parameters of the SVM algorithm have to be tuned. These include 1) the selection of the kernel function; 2) the kernel param- eter(s); 3) the regularization parameters ( C , ν , ε ) for the tradeoff betw[r]

The PPA will include detailed sections related to “events of default.” Events of default are situations where the action or inaction of one of the party significantly jeopardizes the overall project. Many events of default are “curable,” which means there is an[r]

Volume 2 wind energy 2 11 – wind turbine control systems and power electronics Volume 2 wind energy 2 11 – wind turbine control systems and power electronics Volume 2 wind energy 2 11 – wind turbine control systems and power electronics Volume 2 wind energy 2 11 – wind turbine control systems and po[r]

of propane and butane, a study must be conducted to establish the economic payoff.
It should be noted that because of limited LPG market, not all gas turbine suppliers are currently offering dry low NO x combustors for their advanced gas turbines for th[r]

point of view, observations from orbital platforms guarantee continuous measurements of very wide regions of the globe especially over inaccessible areas such as impervious mountains or open oceans where measurement campaigns are often difficult, expensive and<[r]

TRANG 1 MULTI-OBJECTIVE GENETIC ALGORITHMS: PROBLEM DIFFICULTIES AND CONSTRUCTION OF TEST PROBLEMS Kalyanmoy Deb Kanpur Genetic Algorithms Laboratory KanGAL Department of Mechanical Engi[r]

Chapter 17 - Distributed control algorithms. This chapter describes the notions of correctness of a distributed control algorithm, and presents algorithms for performing five control functions in a distributed OS - mutual exclusion, deadlock handling, leader election, scheduling, and termination det[r]

In the past few decades and up to now, the fossil energy has exerted tremendous impacts on human environments and gives rise to greenhouse effects while the wind power, especially in offshore region, is an attractive renewable energy resource. For offshore fixed wind turbine, stronger foundation lik[r]

Abstract
In this paper, we consider the Wind Farm layout optimization problem using a genetic algorithm. Both the Horizontal –Axis Wind Turbines (HAWT) and Vertical-Axis Wind Turbines (VAWT) are considered. The goal of the optimizati[r]

In the eighth chapter, advanced wind resource assessment topics such as computation of extreme wind speed, and modeling of rough terrain and wake are described.. Losses and un-certainty [r]

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Next, consider the unary minus operator, which takes just one operand. Applying this operator to a regular number, as in -x, changes the sign of the value. Thus, applying this operator to a vector reverses the sign of each component. More precisely, the function should return a[r]

Log-linear and multinomial modeling offer a flexible framework for genetic association analyses of offspring (child), parent-of-origin and maternal effects, based on genotype data from a variety of child-parent configurations.

This study investigated the uncertainty assessing wind-power production in valleys of complex terrain using Juneau, Alaska as the testbed. The wind-speed data stem from evaluated WRF/Chem simulations for seven tourist seasons (May 15 to September 15). The percentage of wind speeds between cut-in and[r]

The paper examines the relationship between weather and stock market returns in the Argentina’s stock market using daily data from 2001 to 2014 and regression models. The data consists of stock market returns, temperature, humidity and wind.

This article reports the results of modeling and simulation control systems, adjusting the position to control the ratio of V-belt variator using electricity – hydraulics system by ser[r]

ĐIều khiển thích nghi tuabin gió nguồn kép nối lưới điện truyền tải.
A novel control strategy is presented for the backtoback PWM converters of the gridconnected DFIG wind power
system to enhance the transient performance and reliability of
the overall system during physical parameter uncertainty an[r]

5.1 Type A – Fixed speed wind turbine
This topology corresponds to the constant or fixed speed controlled wind turbine, with asynchronous squirrel cage induction generator (SCIG) directly connected to the electric grid using a step up power transformer, as depicted in Fig.[r]

We have just established that the feature ranking coefficients can be used as classifier weights. Reciprocally, the weights multiplying the inputs of a given classifier can be used as feature ranking coefficients. The inputs that are weighted by the largest value influence most the classifica[r]

Abstract
This paper proposes a novel hierarchical learn- ing strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For each class in the hierarchy either manually prede- fined or automatically clustered, a line[r]