Abstract
This paper describes an integrated wind farm maintenance system, including software, hardware and some algorithms. The approach will imply the optimization of the maintenance planning among different wind towers owned by a company, considering the management of situations where the distances among them have a considerable weight in the maintenance costs. This reason, associated to the generators accessibility and the on-line maintenance variables acquisition, are very important to justify the necessity of improvement of the maintenance planning. This objective is achieved through the application of integrated maintenance management systems to which are associated new functionalities, in parallel with the usual ones in these systems that fit within the on-condition predictive maintenance, including on-line data acquisition modules. Usually, the manufactures construct, deploy and give the means to the suppliers to perform the wind system's maintenance. In some cases, the owners of wind farms can choose the maintenance company. This is a very competitive area, where companies hide the development details and implementations. Another important factor is that, by the first time in last ten years, the three countries with the largest installed power, together, have fallen to a minimum historic, below 40% of the market for wind power in the EU. Definitively, the other European countries encouraged the appearing of programs for installing wind power, with prominence for Italy, Portugal and Netherlands. Within this scenario, the development of maintenance management models for multiple wind equipments is important, and will allow countries to be more competitive in a growth market.

Abstract
The low-cost carriers' (LCCs) pricing system is characterised by a single class of booking that starts with a Minimum fare and then monotonically increases its value over time. This is a form of price discrimination although markets are not physically or temporally separate. Using game theory techniques, this paper shows that this Lo-Hi (low first and later high) strategy is optimal under certain ranges of fare. The paper also finds that the existence of different probabilities of consuming the good and of different willingness to pay makes it possible to separate markets in time and to profitably price discriminate.

Abstract
This paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.

Abstract
All over the world, energy companies are investing in technologies to make better use of renewable energy to generate electric power. Wind energy is the renewable energy source that had a higher growing in the last decades and can be considered a hope in future based on clean and sustainable energy. Unlike conventional fuels, wind energy is a massive indigenous power source permanently available in virtually every nation in the world. Wind power delivers the energy security benefits of fuel costs, no long term fuel price risk, and avoids the economic and supply risks that can arise with reliance on imported fuels and political dependence on other countries.

Abstract
This article presents the design and fabrication of a simple printed fractal monopole antenna for WLAN USB dongle applications. The proposed antenna uses the combination of meander line and fractal geometry, which is very simple and easy to fabricate, to achieve a multiband operation characteristic. The parameters of this antenna were optimized through numerical simulations in Ansoft HFSS, after which the antenna has been fabricated and characterized. The measurement results show that the proposed antenna has a -10 dB return loss bandwidth of 2.22 to 2.52 GHz and 5.03 to 5.84 GHz, which covers the entire required band for WLAN 802.11a/b/g standards. Moreover, from the simulation results, it is also observed that this proposed antenna exhibits constant gain of 1.8 dBi with 95% radiation efficiency in the lower band and 2.4 dBi with 94% radiation efficiency in the upper band, respectively. ©2009 IEEE.

Abstract
In this paper it is studied the influence of the transient stability performance indices on a contingency screening and ranking algorithm. The proposed methodology consists of three modules, with different complexity levels. Due to the large number of contingencies scenarios and calculations required, the application of a hybrid method to assess the system stability reduces drastically the computing time. The single dynamic security indices are obtained as a sub product of the hybrid method with a very reduce computing effort. The composed security indices are evaluated combining the single dynamic indices using weights. These indices are used to select, classify and rank the contingencies in accordance with the system security level. The developed methodology was applied to study the transient stability of the IEEE 17 machines test power system.