The demand on distribution network reconfiguration abilities is increasing. This paper proposes a Finite State Automaton model of a distribution network that deals with topologically safe reconfiguration. Autonomous o...
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The demand on distribution network reconfiguration abilities is increasing. This paper proposes a Finite State Automaton model of a distribution network that deals with topologically safe reconfiguration. Autonomous operation of distribution networks can be designed, analysed and implemented in day-to-day operation with the aid of these automata: through supervisory control. Two approaches to supervisor design are proposed. One for the normal operating mode and the other for the contingency mode. Simple and comprehensive examples illustrate the approaches.
Background: Power consumption has become one of the most serious obstacles ahead of performance increase. Due to increased power consumption, increasing number of transistors does not seem to be viable anymore. We are...
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Autonomous photovoltaic systems have already been proved as one of the most reliable ways to handle the electrification requirements of remote consumers in isolated areas. The technology improvement in the field of bu...
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Autonomous photovoltaic systems have already been proved as one of the most reliable ways to handle the electrification requirements of remote consumers in isolated areas. The technology improvement in the field of building integrated photovoltaic systems, along with the governmental financial incentives for boosting the corresponding energy sector, have increased the interest of installing small scale photovoltaic systems not only in remote dwellings but also in grid-connected households. The penetration of photovoltaic systems in densely populated areas has made people even more familiar with them and therefore people with environmental consciousness are more likely to adopt the specific technology. In this context, the present work aims in highlighting the capabilities of building integrated photovoltaic systems along with battery storage devices in covering the electrical needs of a typical dwelling using real electricity demand and meteorological data based on Typical Meteorological Year time series. The system is simulated on an hourly basis by using an integrated numerical code that has been developed by the Soft Energy Applications & Environmental Protection Laboratory of the Mechanical engineeringdep.. of Piraeus University of Applied sciences in Greece. The proposed solution guarantees zero load rejections under different solar potential schemes investigating also the possibilities of minimizing the storage system capacity.
作者:
Choukri DjellaliMehdi AddaMathematics
Computer Science and Engineering Dep. University of Quebec At Rimouski 300 Allée des Ursulines Rimouski QC G5L 3A1 Canada
Variables selection is challenging task due mainly to huge search space. This study addresses the increasingly encountered chal- lenge of variables selection. It addresses the application of machine learning technique...
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Variables selection is challenging task due mainly to huge search space. This study addresses the increasingly encountered chal- lenge of variables selection. It addresses the application of machine learning techniques to the problem of variables selection. We detailed the various models of the variables selection and examined the basic steps that are used to select the cost-effective predictors. We also walked through the initial settings and all variables selection stages, including architecture configuration, strat- egy generation, learning, model induction, and scoring. Results from this study show that the cost and generalization were seen to improve significantly in terms of computing time and recognition accuracy when the proposed system is applied for medical diagnosis. Good comparisons with an experimental study demonstrate the multidisciplinary applications of our approach.
The performance of clustering is a crucial challenge, especially for pattern recognition. The models aggregation has a positive impact on the efficiency of Data clustering. This technique is used to obtain more clutte...
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In this work, an attempt has been made to join the AA6082-T651 and AA7075-T651 aluminium alloys by friction stir welding (FSW). The FSW is a solid-state joining process which primarily used on aluminium because the me...
In this work, an attempt has been made to join the AA6082-T651 and AA7075-T651 aluminium alloys by friction stir welding (FSW). The FSW is a solid-state joining process which primarily used on aluminium because the metal is not melted during the process so the base material can not soften. For the welding were using cylindrical pin tool, marble table to avoid the harmful heat conduction, two rotation rate of 500 and1000 rpm and different traverse speeds of 15, 20, 25 and 30 mm/min to weld butt joints. The aim of present study were to experimentally explore the dissimilar bounds. For evaluations, hardness testing were using to create hardness profiles across the joint in through thickness direction and optical microscope to classify the microstructures and crystallographic textures of base materials (BM). Based on the results obtained it can be stated that the FSW suitable for AA7075 and AA6082 welding by further optimization of the process parameters.
Due to of the bandwidth constraint, sensors may only be able to transmit a finite number of bits to save the energy, and the measurement data may have to be quantized before transmission especially in wireless sensor ...
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ISBN:
(纸本)9781538629024
Due to of the bandwidth constraint, sensors may only be able to transmit a finite number of bits to save the energy, and the measurement data may have to be quantized before transmission especially in wireless sensor networks (WSNs). This paper studies the problem of the general quantized innovation filtering with random packet dropouts for linear stochastic uncertain systems. The multiplicative uncertainty of system parameters is first converted into additive noises. Then under the Gaussian assumption on the predicted density, the Lloyd-Max quantizer, a general quantized innovation filter with random packet dropouts in the linear minimum mean square error (LMMSE) sense is derived based on the projection theory and Bayes Rule. Furthermore a sufficient condition is provided, under which a general quantized innovation filter with random packet dropouts can be reduced into a standard Kalman filter. An example is simulated to illustrate the effectiveness and correctness of the designed filter.
In this paper, we introduce a new type of graphical model, interventional dep.ndency graphs, to encode interactions among processes. These type of graphical models are defined using a measure that captures the influen...
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Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research. Although the literature offers a var...
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Estimating distribution of load change in response to demand management programs has been targeted in many researches, mostly based on economical and business sale-price models. In this paper a bottom-up analysis appr...
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ISBN:
(纸本)9781509051687
Estimating distribution of load change in response to demand management programs has been targeted in many researches, mostly based on economical and business sale-price models. In this paper a bottom-up analysis approach will be considered. As the first step consumer's decision making process has been approximated using mathematical modeling. In this step a novel optimization model for production scheduling will be introduced which takes into account different energy consumption states. In the second step a design of experiment (DOE) model will be developed base on different energy and production factors. In the third step, two new distributions will be introduced based on a variable selected in DOE analysis. The proposed distributions can be obtained based on significant variables and be utilized in market analysis and more specifically, in stochastic analysis.
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