توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱electricity demand estimation using the genetic algorithm (GA) technique – a case study for iran
نویسنده(ها): ، ، ،
اطلاعات انتشار: اولین کنفرانس سراسری اصلاح الگوی مصرف انرژی الکتریکی، سال
تعداد صفحات: ۵
the study presents application of genetic algorithm GA techniques to estimate electricity demand in iran based on socio –economic indicators the models are developed in two forms exponential and linear and applied to forecast electricity demand in iran<\div>

۲Use of particle swarm optimization PSO and genetic algorithm GA for electricity demand in iran's resedential –commercial sector
نویسنده(ها): ، ، ،
اطلاعات انتشار: اولین کنفرانس سراسری اصلاح الگوی مصرف انرژی الکتریکی، سال
تعداد صفحات: ۷
the study presents application of particle swarm optimization PSO and genetic algorithm GA methods to estimate and predict electricity demand in iranian residential –commercial sector.<\div>

۳Electricity demand estimation in Iranian industrial sector
نویسنده(ها): ، ، ،
اطلاعات انتشار: دومین کنفرانس سراسری اصلاح الگوی مصرف انرژی الکتریکی، سال
تعداد صفحات: ۶
This study presents application of particle swarm optimization (PSO) method to estimate and predict electricitydemand in Iranian industrial sectors. The economic indicators used in this study are number of customers, gross domesticproduct (GDP), electricity production and price. The models which developed in two forms (exponential and linear) areapplied to the electricity demand of industrial sector. These models can be used to estimate electricity demand in thefuture by optimizing parameter values. Electricity consumption in Iranian industrial sector from 1981 to 2005 is consideredas the case of this study. The available data is partly used for finding the optimal, or near optimal, values of the weightingparameters (1981–1999) and partly for testing the models (2000–2005). For the best results of PSO relative erroraverages were 1.03% and 1.69% for and . Electricity consumption is forecasted up to year 2030.<\div>

۴Construction of multi –directional dynamic loadingapparatus to simulate earthquake in soil specimens
نویسنده(ها): ، ،
اطلاعات انتشار: نهمین کنگره بین المللی مهندسی عمران، سال
تعداد صفحات: ۶
Determination of dynamic properties of soils in laboratory such as damping ratio and shear modulus in laboratory is possible by simulation of various earthquake waves. For these purpose some apparatus has been developed such as cyclic triaxial, cyclic simple shear, cyclic torsion shear, resonant column and etcwhich of them is for simulate a particular situation.For example cyclic triaxial apparatus simulate P wave of earthquake by applying cyclicdeviatoric stress and also cyclic simple shear apparatus is used for S wave simulation. When an earthquake happened, various kinds of waves have different effects on soils. Therefore simultaneous applying of different load from different direction is more suitable for simulation of an earthquake. So we decided construct an apparatus that be able to apply loads from various directions<\div>
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